Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book ? Second edition of the bestselling book on Machine Learning ? A practical approach to key frameworks in data science, machine learning, and deep learning ? Use the most powerful Python libraries to implement machine learning and deep learning ? Get to know the best practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data. What You Will Learn ? Understand the key frameworks in data science, machine learning, and deep learning ? Harness the power of the latest Python open source libraries in machine learning ? Explore machine learning techniques using challenging real-world data ? Master deep neural network implementation using the TensorFlow library ? Learn the mechanics of classification algorithms to implement the best tool for the job ? Predict continuous target outcomes using regression analysis ? Uncover hidden patterns and structures in data with clustering ? Delve deeper into textual and social media data using sentiment analysis In Detail Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka’s bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili’s unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you’ll be ready to meet the new data analysis opportunities in today’s world. If you’ve read the first edition of this book, you’ll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You’ll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn. Style and Approach Python Machine Learning Second Edition takes a practical, hands-on coding approach so you can learn about machine learning by coding with Python. This book moves fluently between the theoretical principles of machine learning and the practical details of implementation with Python.

Master data management & analysis techniques with IBM SPSS Statistics 24 About This Book ? Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data ? Choose the right statistical technique to analyze different types of data and build efficient models from your data with ease ? Overcome any hurdle that you might come across while learning the different SPSS Statistics concepts with clear instructions, tips and tricks Who This Book Is For This book is designed for analysts and researchers who need to work with data to discover meaningful patterns but do not have the time (or inclination) to become programmers. We assume a foundational understanding of statistics such as one would learn in a basic course or two on statistical techniques and methods. What You Will Learn ? Install and set up SPSS to create a working environment for analytics ? Techniques for exploring data visually and statistically, assessing data quality and addressing issues related to missing data ? How to import different kinds of data and work with it ? Organize data for analytical purposes (create new data elements, sampling, weighting, subsetting, and restructure your data) ? Discover basic relationships among data elements (bivariate data patterns, differences in means, correlations) ? Explore multivariate relationships ? Leverage the offerings to draw accurate insights from your research, and benefit your decision-making In Detail SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease. Style and approach Provides a practical orientation to understanding a set of data and examining the key relationships among the data elements. Shows useful visualizations to enhance understanding and interpretation. Outlines a roadmap that focuses the process so decision regarding how to proceed can be made easily.

Get more out of Microsoft Power BI turning your data into actionable insights About This Book ? From connecting to your data sources to developing and deploying immersive, mobile-ready dashboards and visualizations, this book covers it all ? Over 90 hands-on, technical recipes, tips, and use cases from across the Power BI platform including the Power BI Service and Mobile Applications ? Proven development techniques and guidance for implementing custom solutions with DAX and M languages Who This Book Is For This book is for BI professionals who wish to enhance their knowledge of Power BI beyond and to enhance the value of the Power BI solutions they deliver to business users. Those who are looking at quick solutions to common problems while using Power BI will also find this book to be a very useful resource .Some experience with Power BI will be useful. What You Will Learn ? Cleanse, stage, and integrate your data sources with Power BI ? Abstract data complexities and provide users with intuitive, self-service BI capabilities ? Build business logic and analysis into your solutions via the DAX programming language and dynamic, dashboard-ready calculations ? Take advantage of the analytics and predictive capabilities of Power BI ? Make your solutions more dynamic and user specific and/or defined including use cases of parameters, functions, and row level security ? Understand the differences and implications of DirectQuery, Live Connections, and Import-Mode Power BI datasets and how to deploy content to the Power BI Service and schedule refreshes ? Integrate other Microsoft data tools such as Excel and SQL Server Reporting Services into your Power BI solution In Detail Microsoft Power BI is a business intelligence and analytics platform consisting of applications and services designed to provide coherent, visual and interactive insights of data. This book will provide thorough, technical examples of using all primary Power BI tools and features as well as demonstrate high impact end-to-end solutions that leverage and integrate these technologies and services. Get familiar with Power BI development tools and services, go deep into the data connectivity and transformation, modeling, visualization and analytical capabilities of Power BI, and see Power BI’s functional programming languages of DAX and M come alive to deliver powerful solutions to address common, challenging scenarios in business intelligence. This book will excite and empower you to get more out of Power BI via detailed recipes, advanced design and development tips, and guidance on enhancing existing Power BI projects. Style and approach This book consists of practical recipes on Power BI that target novices as well as intermediate Power BI users. It goes deep into the technical issues, covers additional protocols, and many more real-live examples.

Over 50 recipes to help you quickly and efficiently build applications with Swift 4 and Xcode 9 About This Book ? Write robust and efficient code and avoid common pitfalls using Swift 4 ? Get a comprehensive coverage of the tools and techniques needed to create multi-platform apps with Swift 4 ? Packed with easy-to-follow recipes, this book will help you develop code using the latest version of Swift Who This Book Is For If you are looking for a book to help you learn about the diverse features offered by Swift 4 along with tips and tricks to efficiently code and build applications, then this book is for you. Basic knowledge of Swift or general programming concepts will be beneficial. What You Will Learn ? Explore basic to advanced concepts in Swift 4 Programming ? Unleash advanced features of Apple's Xcode 9 IDE and Swift Playgrounds ? Learn about the conditional statements, loops, and how to handle errors in Swift ? Define flexible classes and structs using Generics, and learn about the advanced operators, and create custom operators ? Explore functionalities outside of the standard libraries of Swift ? Import your own custom functionality into Swift Playgrounds ? Run Swift on Linux and investigate server-side programming with the server side framework Vapor In Detail Swift 4 is an exciting, multi-platform, general-purpose programming language. Being open source, modern and easy to use has made Swift one of the fastest growing programming languages. If you interested in exploring it, then this book is what you need. The book begins with an introduction to the basic building blocks of Swift 4, its syntax and the functionalities of Swift constructs. Then, introduces you to Apple's Xcode 9 IDE and Swift Playgrounds, which provide an ideal platform to write, execute, and debug the codes thus initiating your development process. Next, you'll learn to bundle variables into tuples, set order to your data with an array, store key-value pairs with dictionaries and you'll learn how to use the property observers. Later, explore the decision-making and control structures in Swift and learn how to handle errors in Swift 4. Then you'll, examine the advanced features of Swift, generics and operators, and then explore the functionalities outside of the standard library, provided by frameworks such as Foundation and UIKit. Also, you'll explore advanced features of Swift Playgrounds. At the end of the book, you'll learn server-side programming aspect of Swift 4 and see how to run Swift on Linux and then investigate Vapor, one of the most popular server-side frameworks for Swift. Style and approach Each recipe addresses a specific problem, with a detailed discussion that explains the solution and offers insight into how it works.

Design and create beautiful solutions using modern development tools for SharePoint Online About This Book ? Get the best out of the latest Sharepoint Framework and leverage the Sharepoint RESTful and JSOM APIs. ? Develop efficient client side applications with JavaScript injection and Sharepoint Addins. ? Get the best tips and tricks on designing your website flawlessly. Who This Book Is For This book targets current SharePoint developers, as well as people starting their journey on SharePoint development. The reader must have basic web development programming knowledge, including JavaScript and CSS. The reader should have familiarity using and managing SharePoint-based collaboration sites. What You Will Learn ? Understand what the SharePoint Framework is ? Create modern solutions using the new tools, approaches and frameworks ? Learn how to use Visual Studio Code for effective SharePoint development ? Package and deploy your code, using automation as needed ? Work with content and data stored in SharePoint ? Benefit from third party frameworks without having to build your own frameworks ? Debug and troubleshoot your code with ease ? Configure security in your application In Detail SharePoint is one of Microsoft's best known web platforms. A loyal audience of developers, IT Pros and power users use it to build line of business solutions. The SharePoint Framework (SPFx) is a great new option for developing SharePoint solutions. Many developers are creating full-trust based solutions or add-in solutions, while also figuring out where and how SPFx fits in the big picture. This book shows you how design, build, deploy and manage SPFx based solutions for SharePoint Online and SharePoint 2016. The book starts by getting you familiar with the basic capabilities of SPFx. After that, we will walk through the tool-chain on how to best create production-ready solutions that can be easily deployed manually or fully automated throughout your target Office 365 tenants. We describe how to configure and use Visual Studio Code, the de facto development environment for SPFx-based solutions. Next, we provide guidance and a solid approach to packaging and deploying your code. We also present a straightforward approach to troubleshooting and debugging your code an environment where business applications run on the client side instead of the server side. Style and approach The approach will be that of a practical tutorial which will take you through every topic using code samples and working examples.

WSO2 Made Simple – dive deep into the core concepts of WSO2 to overcome the challenges faced while using the Enterprise Integrator About This Book ? Design, create, and publish services in the WSO2 technology ? Integrate the WSO2 Enterprise Integrator with other components and servers ? Log and test deployed services Who This Book Is For If you are a Java solutions architect or developer and are keen to understand how to build enterprise applications with WSO2, this book is for you. No prior knowledge of WSO2 is expected. What You Will Learn ? Configure WSO2 Enterprise Integrator server in a production environment ? Create SOAP Proxies and REST APIs ? Interact with WSO2 Message Broker ? Write services using the new language: Ballerina ? Schedule automatic tasks for the services you create ? Manage log messages depending on the log level of the system ? Integrate with social networks such as Twitter, Facebook, Instagram, and Yammer ? Test SOAP Services using the Tryit feature and SoapUI tool ? Work with Quality of Services In Detail WSO2 Enterprise Integrator brings together the most powerful servers provided by the WSO2 company for your SOA infrastructure. As an Enterprise Service Bus (ESB), WSO2 Enterprise Integrator provides greater flexibility and agility to meet growing enterprise demands, whereas, as a Data Services Server (DSS), it provides an easy-to-use platform for integrating data stores, creating composite views across different data sources, and hosting data services. Using real-world scenarios, this book helps you build a solid foundation in developing enterprise applications with powerful data integration capabilities using the WSO2 servers. The book gets you started by brushing up your knowledge about SOA architecture and how it can be implemented through WSO2. It will help build your expertise with the core concepts of ESB such as building proxies, sequences, endpoints, and how to work with these in WSO2. Going further, you will also get well-acquainted with DSS data service concepts such as configuring data services, tasks, events, testing, and much more. The book will also cover API management techniques. Along with ESB and DSS, you will also learn about business process servers, the rules server and other components that together provide the control and robustness your enterprise applications will need. With practical use cases, the book covers typical daily scenarios you will come across while using these servers to give you hands-on experience. Style and approach The book is a complete guide and helps you get the right start—from understanding SOA architectures to getting valuable experience with two important integration servers such as ESB and DSS. It will include some real-world practical scenarios to help you master the best practices followed right across the industry and overcome the challenges you're likely to face on a daily basis.

Software legend Max Kanat-Alexander shows you how to succeed as a developer by embracing simplicity, with forty-three essays that will help you really understand the software you work with. About This Book ? Read and enjoy the superlative writing and insights of the legendary Max Kanat-Alexander ? Learn and reflect with Max on how to bring simplicity to your software design principles ? Discover the secrets of rockstar programmers and how to also just suck less as a programmer Who This Book Is For Understanding Software is for every programmer, or anyone who works with programmers. If life is feeling more complex than it should be, and you need to touch base with some clear thinking again, this book is for you. If you need some inspiration and a reminder of how to approach your work as a programmer by embracing some simplicity in your work again, this book is for you. If you’re one of Max’s followers already, this book is a collection of Max’s thoughts selected and curated for you to enjoy and reflect on. If you’re new to Max’s work, and ready to connect with the power of simplicity again, this book is for you! What You Will Learn ? See how to bring simplicity and success to your programming world ? Clues to complexity - and how to build excellent software ? Simplicity and software design ? Principles for programmers ? The secrets of rockstar programmers ? Max’s views and interpretation of the Software industry ? Why Programmers suck and how to suck less as a programmer ? Software design in two sentences ? What is a bug? Go deep into debugging In Detail In Understanding Software, Max Kanat-Alexander, Technical Lead for Code Health at Google, shows you how to bring simplicity back to computer programming. Max explains to you why programmers suck, and how to suck less as a programmer. There’s just too much complex stuff in the world. Complex stuff can’t be used, and it breaks too easily. Complexity is stupid. Simplicity is smart. Understanding Software covers many areas of programming, from how to write simple code to profound insights into programming, and then how to suck less at what you do! You'll discover the problems with software complexity, the root of its causes, and how to use simplicity to create great software. You'll examine debugging like you've never done before, and how to get a handle on being happy while working in teams. Max brings a selection of carefully crafted essays, thoughts, and advice about working and succeeding in the software industry, from his legendary blog Code Simplicity. Max has crafted forty-three essays which have the power to help you avoid complexity and embrace simplicity, so you can be a happier and more successful developer. Max's technical knowledge, insight, and kindness, has earned him code guru status, and his ideas will inspire you and help refresh your approach to the challenges of being a developer. Style and approach Understanding Software is a new selection of carefully chosen and crafted essays from Max Kanat-Alexander's legendary blog call Code Simplicity. Max’s writing and thoughts are great to sit and read cover to cover, or if you prefer you can drop in and see what you discover new every single time!

Maximize the power of Windows Forensics to perform highly effective forensic investigations About This Book ? Prepare and perform investigations using powerful tools for Windows, ? Collect and validate evidence from suspects and computers and uncover clues that are otherwise difficult ? Packed with powerful recipes to perform highly effective field investigations Who This Book Is For If you are a forensic analyst or incident response professional who wants to perform computer forensics investigations for the Windows platform and expand your took kit, then this book is for you. What You Will Learn ? Understand the challenges of acquiring evidence from Windows systems and overcome them ? Acquire and analyze Windows memory and drive data with modern forensic tools. ? Extract and analyze data from Windows file systems, shadow copies and the registry ? Understand the main Windows system artifacts and learn how to parse data from them using forensic tools ? See a forensic analysis of common web browsers, mailboxes, and instant messenger services ? Discover how Windows 10 differs from previous versions and how to overcome the specific challenges it presents ? Create a graphical timeline and visualize data, which can then be incorporated into the final report ? Troubleshoot issues that arise while performing Windows forensics In Detail Windows Forensics Cookbook provides recipes to overcome forensic challenges and helps you carry out effective investigations easily on a Windows platform. You will begin with a refresher on digital forensics and evidence acquisition, which will help you to understand the challenges faced while acquiring evidence from Windows systems. Next you will learn to acquire Windows memory data and analyze Windows systems with modern forensic tools. We also cover some more in-depth elements of forensic analysis, such as how to analyze data from Windows system artifacts, parse data from the most commonly-used web browsers and email services, and effectively report on digital forensic investigations. You will see how Windows 10 is different from previous versions and how you can overcome the specific challenges it brings. Finally, you will learn to troubleshoot issues that arise while performing digital forensic investigations. By the end of the book, you will be able to carry out forensics investigations efficiently. Style and approach This practical guide filled with hands-on, actionable recipes to detect, capture, and recover digital artifacts and deliver impeccable forensic outcomes.

Learn the basics of Geographic Information Systems by solving real-world problems with powerful open source tools About This Book ? This easy-to-follow guide allows you to manage and analyze geographic data with ease using open source tools ? Publish your geographical data online ? Learn the basics of geoinformatics in a practical way by solving problems Who This Book Is For The book is for IT professionals who have little or no knowledge of GIS. It’s also useful for those who are new to the GIS field who don’t want to spend a lot of money buying licenses of commercial tools and training. What You Will Learn ? Collect GIS data for your needs ? Store the data in a PostGIS database ? Exploit the data using the power of the GIS queries ? Analyze the data with basic and more advanced GIS tools ? Publish your data and share it with others ? Build a web map with your published data In Detail The most commonly used GIS tools automate tasks that were historically done manually—compiling new maps by overlaying one on top of the other or physically cutting maps into pieces representing specific study areas, changing their projection, and getting meaningful results from the various layers by applying mathematical functions and operations. This book is an easy-to-follow guide to use the most matured open source GIS tools for these tasks. We’ll start by setting up the environment for the tools we use in the book. Then you will learn how to work with QGIS in order to generate useful spatial data. You will get to know the basics of queries, data management, and geoprocessing. After that, you will start to practice your knowledge on real-world examples. We will solve various types of geospatial analyses with various methods. We will start with basic GIS problems by imitating the work of an enthusiastic real estate agent, and continue with more advanced, but typical tasks by solving a decision problem. Finally, you will find out how to publish your data (and results) on the web. We will publish our data with QGIS Server and GeoServer, and create a basic web map with the API of the lightweight Leaflet web mapping library. Style and approach The book guides you step by step through each of the core concepts of the GIS toolkit, building an overall picture of its capabilities. This guide approaches the topic systematically, allowing you to build upon what you learned in previous chapters. By the end of this book, you’ll have an understanding of the aspects of building a GIS system and will be able to take that knowledge with you to whatever project calls for it.

Over 60 recipes to install, configure, and manage your IIS 10.0 About This Book ? Provide a secure, easy-to-manage extensible platform for hosting your websites ? Leverage IIS 10.0 in order to deploy web site in seconds ? Integrate Windows and Nano Server 2016 and automate it with PowerShell ? Recipes to Manage and monitor your IIS 10.0 Who This Book Is For If you are an administrator or web developer with a basic (or no) knowledge of Microsoft IIS and want to set up your own web server, then this is the book for you. What You Will Learn ? Integrate IIS 10.0 on Windows server 2016 ? Host multiple websites and Wildcard Host on IIS 10.0 ? Deploy and administrate IIS 10.0 on Nano Server. ? IIS administration with Powershell. ? Manage and troubleshoot IIS 10.0 In Detail This book will start with customizing your IIS 10 to various platforms/OS and tune it according to your business requirements. Moving on, we will focus on the functionalities of core fundamentals and perform practical scenarios in order to maximize the use of a reliable web server. Going further we will be covering topics like IIS 10 architecture, IIS modules,hosting web server platforms, virtual directories along with web site deployment, ports, enhanced security. We will also cover new features of IIS 10 like integration with Windows Server 2016 and Nano Server, HTTP/2, PowerShell 5 cmdlets etc . Towards the end, we will cover troubleshooting & diagnostic techniques of IIS 10. By the end of this book you will be well versed with maximizing the reliability of your webserver and will have immense knowledge in using IIS 10 effectively Style and approach A set of exciting recipes on using Microsoft IIS 10.0 effectively..

Design and administer fast, reliable enterprise messaging systems with Apache Kafka About This Book ? Build efficient real-time streaming applications in Apache Kafka to process data streams of data ? Master the core Kafka APIs to set up Apache Kafka clusters and start writing message producers and consumers ? A comprehensive guide to help you get a solid grasp of the Apache Kafka concepts in Apache Kafka with pracitcalpractical examples Who This Book Is For If you want to learn how to use Apache Kafka and the different tools in the Kafka ecosystem in the easiest possible manner, this book is for you. Some programming experience with Java is required to get the most out of this book What You Will Learn ? Learn the basics of Apache Kafka from scratch ? Use the basic building blocks of a streaming application ? Design effective streaming applications with Kafka using Spark, Storm &, and Heron ? Understand the importance of a low -latency , high- throughput, and fault-tolerant messaging system ? Make effective capacity planning while deploying your Kafka Application ? Understand and implement the best security practices In Detail Apache Kafka is a popular distributed streaming platform that acts as a messaging queue or an enterprise messaging system. It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. This book is a comprehensive guide to designing and architecting enterprise-grade streaming applications using Apache Kafka and other big data tools. It includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease. This book first takes you through understanding the type messaging system and then provides a thorough introduction to Apache Kafka and its internal details. The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. By the end of this book, you will have all the information you need to be comfortable with using Apache Kafka, and to design efficient streaming data applications with it. Style and approach A step-by –step, comprehensive guide filled with practical and real- world examples

Bring the power of Microsoft Azure Hybrid Cloud technology to your datacenter. About This Book ? Build and deploy software-defined infrastructures and deliver Azure-based IaaS and Paas services in your datacenter ? Use Azure Stack to leverage your current infrastructure with Microsoft Hybrid Cloud and get the best of both worlds ? Unlock greater levels of performance and flexibility and save your organization money, time, and resources Who This Book Is For The book is for administrators and architects who are planning to implement or administer a hybrid cloud infrastructure using Microsoft Cloud Technology. This book is ideal for those who are looking forward to implement and run a hybrid cloud infrastructure with PaaS, SaaS and IaaS services. What You Will Learn ? Gain a clear understanding of Azure Stack design ? Set up storage, network and compute services in Azure Stack ? Implement and run a hybrid cloud infrastructure with PaaS, SaaS, and IaaS services ? Get an overview of the automation options in Azure Stack ? Integrate Azure public services such as multi-factor authentication and Azure AD with Azure Stack ? Learn about the services available in the future In Detail Azure Stack is all about creating fewer gaps between on-premise and public cloud application deployment. Azure Stack is the next logical evolution of Microsoft Cloud Services to create a true Hybrid Cloud-ready application. This book provides an introduction to Microsoft Azure Stack and the Cloud First Approach. Starting with an introduction to Microsoft Azure Stack Architecture, the book will help you plan and deploy your Microsoft Azure Stack. Next, you will learn about the Network and Storage option in Microsoft Azure Stack and you'll create your own private cloud solution. Finally, you will understand how to integrate Public Cloud Services with Microsoft Azure Stack and extend it using the 3rd Party Resource Provider. After reading the book, you will have a good understanding of an end-to-end process for designing, implementing, offering, and supporting cloud solutions for enterprises or service providers. Style and approach This book is a practical guide to help you unlock a hybrid cloud stack using Azure Stack. Using a straight forward and easy to implement approach, this book guides you through the basic planning for a hybrid cloud stack, describes the infrastructure technologies Azure Stack is based on, and explains how to deploy and administer an Azure Stack-based infrastructure.

Extract patterns and knowledge from your data in easy way using MATLAB About This Book ? Get your first steps into machine learning with the help of this easy-to-follow guide ? Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB ? Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will Learn ? Learn the introductory concepts of machine learning. ? Discover different ways to transform data using SAS XPORT, import and export tools, ? Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. ? Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. ? Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. ? Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. ? Learn feature selection and extraction for dimensionality reduction leading to improved performance. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You’ll start by getting your system ready with t he MATLAB environment for machine learning and you’ll see how to easily interact with the Matlab workspace. We’ll then move on to data cleansing, mining and analyzing various data types in machine learning and you’ll see how to display data values on a plot. Next, you’ll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You’ll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you’ll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB. Style and approach The book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work.

Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x About This Book ? Create and customize live graphs, by adding style, color, font to make appealing graphs. ? A complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits. ? Create timestamp data visualizations on 2D and 3D graphs in form of plots, histogram, bar charts, scatterplots and more. Who This Book Is For This book is for anyone interested in data visualization, to get insights from big data with Python and Matplotlib 2.x. With this book you will be able to extend your knowledge and learn how to use python code in order to visualize your data with Matplotlib. Basic knowledge of Python is expected. What You Will Learn ? Familiarize with the latest features in Matplotlib 2.x ? Create data visualizations on 2D and 3D charts in the form of bar charts, bubble charts, heat maps, histograms, scatter plots, stacked area charts, swarm plots and many more. ? Make clear and appealing figures for scientific publications. ? Create interactive charts and animation. ? Extend the functionalities of Matplotlib with third-party packages, such as Basemap, GeoPandas, Mplot3d, Pandas, Scikit-learn, and Seaborn. ? Design intuitive infographics for effective storytelling. In Detail Big data analytics are driving innovations in scientific research, digital marketing, policy-making and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customization. Matplotlib 2.x By Example illustrates the methods and applications of various plot types through real world examples. It begins by giving readers the basic know-how on how to create and customize plots by Matplotlib. It further covers how to plot different types of economic data in the form of 2D and 3D graphs, which give insights from a deluge of data from public repositories, such as Quandl Finance. You will learn to visualize geographical data on maps and implement interactive charts. By the end of this book, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization. This book will guide you to prepare high quality figures for manu*s and presentations. You will learn to create intuitive info-graphics and reshaping your message crisply understandable. Style and approach Step by step comprehensive guide filled with real world examples.

Learn NativeScript to build native mobile applications with Angular, TypeScript, JavaScript About This Book ? Power packed hands-on guide to help you become pro-efficient with NativeScript ? Harness the power of your web development skills with JavaScript and Angular to build cross-platform mobile apps ? Create highly maintainable and feature-rich apps with TypeScript and NativeScript APIs Who This Book Is For This book assumes you have a general understanding of TypeScript, have heard of NativeScript and know what it's about, and are familiar with Angular (2.0). You don't need to be an expert in any of these technologies, but having some sense of them before reading is recommended this book, which is ideal for intermediate to advanced users. What You Will Learn ? Bootstrap a NativeScript for Angular app ? Best practices for project organization ? Style your app with CSS/SASS ? Use Angular together with NativeScript to create cross-platform mobile apps ? Take advantage of powerful Angular features, such as Dependency Injection, Components, Directives, Pipes, and NgModules right within your NativeScript apps ?Gain insight into great project organization and best practices ?Use Objective C/Swift and Java APIs directly from TypeScript ?Use rich framework features and third-party plugins ?Style your app with CSS/SASS ?Integrate @ngrx/store + @ngrx/effects to help with state management ?Test your app with Karma and Appium In Detail NativeScript is an open source framework that is built by Progress in order to build truly native mobile apps with TypeScript, JavaScript or just Angular which is an open source framework built by Google that offers declarative templates, dependency injection, and fully featured modules to build rich applications. Angular’s versatile view handling architecture allows your views to be rendered as highly performant UI components native to iOS and Android mobile platforms. This decoupling of the view rendering layer in Angular combined with the power of native APIs with NativeScript have together created the powerful and exciting technology stack of NativeScript for Angular. This book focuses on the key concepts that you will need to know to build a NativeScript for Angular mobile app for iOS and Android. We’ll build a fun multitrack recording studio app, touching on powerful key concepts from both technologies that you may need to know when you start building an app of your own. The structure of the book takes the reader from a void to a deployed app on both the App Store and Google Play, serving as a reference guide and valuable tips/tricks handbook. By the end of this book, you’ll know majority of key concepts needed to build a successful NativeScript for Angular app. Style and approach This step-by-step advanced tutorial focuses on the key concepts you need to know to build a NativeScript for Angular mobile app for iOS and Android.

Use the power of BLE to create exciting IoT applications About This Book ? Build hands-on IoT projects using Bluetooth Low Energy and learn about Bluetooth 5 and its features. ? Build a health tracking system, and indoor navigation and warehouse weather monitoring projects using smart devices. ? Build on a theoretical foundation and create a practice-based understanding of Bluetooth Low Energy. Who This Book Is For If you're an application developer, a hardware enthusiast, or just curious about the Internet of Things and how to convert it into hands-on projects, then this book is for you. Having some knowledge of writing mobile applications will be advantageous. What You Will Learn ? Learn about the architecture and IoT uses of BLE, and in which domains it is being used the most ? Set up and learn about various development platforms (Android, iOS, Firebase, Raspberry Pi, Beacons, and GitHub) ? Create an Explorer App (Android/iOS) to diagnose a Fitness Tracker ? Design a Beacon with the Raspberry Pi and write an app to detect the Beacon ? Write a mobile app to periodically poll the BLE tracking sensor ? Compose an app to read data periodically from temperature and humidity sensors ? Explore more applications of BLE with IoT ? Design projects for both Android and iOS mobile platforms In Detail Bluetooth Low Energy, or Bluetooth Smart, is Wireless Personal Area networking aimed at smart devices and IoT applications. BLE has been increasingly adopted by application developers and IoT enthusiasts to establish connections between smart devices. This book initially covers all the required aspects of BLE, before you start working on IoT projects. In the initial stages of the book, you will learn about the basic aspects of Bluetooth Low Energy—such as discovering devices, services, and characteristics—that will be helpful for advanced-level projects. This book will guide you through building hands-on projects using BLE and IoT. These projects include tracking health data, using a mobile App, and making this data available for health practitioners; Indoor navigation; creating beacons using the Raspberry Pi; and warehouse weather Monitoring. This book also covers aspects of Bluetooth 5 (the latest release) and its effect on each of these projects. By the end of this book, you will have hands-on experience of using Bluetooth Low Energy to integrate with smart devices and IoT projects. Style and approach A practical guide that will help you promote yourself into an expert by building and exploring practical applications of Bluetooth Low Energy.

Build consistent web apps with Redux by easily centralizing the state of your application. About This Book ? Write applications that behave consistently, run in different environments (client, server and native), and are easy to test ? Take your web apps to the next level by combining the power of Redux with other frameworks such as React and Angular ? Uncover the best practices and hidden features of Redux to build applications that are powerful, consistent, and maintainable Who This Book Is For This book targets developers who are already fluent in JavaScript but want to extend their web development skills to develop and maintain bigger applications. What You Will Learn ? Understand why and how Redux works ? Implement the basic elements of Redux ? Use Redux in combination with React/Angular to develop a web application ? Debug a Redux application ? Interface with external APIs with Redux ? Implement user authentication with Redux ? Write tests for all elements of a Redux application ? Implement simple and more advanced routing with Redux ? Learn about server-side rendering with Redux and React ? Create higher-order reducers for Redux ? Extend the Redux store via middleware In Detail The book starts with a short introduction to the principles and the ecosystem of Redux, then moves on to show how to implement the basic elements of Redux and put them together. Afterward, you are going to learn how to integrate Redux with other frameworks, such as React and Angular. Along the way, you are going to develop a blog application. To practice developing growing applications with Redux, we are going to start from nothing and keep adding features to our application throughout the book. You are going to learn how to integrate and use Redux DevTools to debug applications, and access external APIs with Redux. You are also going to get acquainted with writing tests for all elements of a Redux application. Furthermore, we are going to cover important concepts in web development, such as routing, user authentication, and communication with a backend server After explaining how to use Redux and how powerful its ecosystem can be, the book teaches you how to make your own abstractions on top of Redux, such as higher-order reducers and middleware. By the end of the book, you are going to be able to develop and maintain Redux applications with ease. In addition to learning about Redux, you are going be familiar with its ecosystem, and learn a lot about JavaScript itself, including best practices and patterns. Style and approach This practical guide will teach you how to develop a complex, data-intensive application leveraging the capabilities of the Redux framework.

Get to grips with HoloLens development as you create mixed reality apps from scratch About This Book ? Create awesome Augmented Reality (AR) apps for the Microsoft HoloLens platform ? Unleash the power of Unity SDK for HoloLens to create next generation AR apps ? Explore the exciting world of gesture control, visual mapping, voice command for apps, and many more cutting edge possibilities with HoloLens Who This Book Is For This book is for developers who have some experience with programming in any of the major languages such as C#, C++, and so on. You do need any knowledge of Augmented Reality development. What You Will Learn ? Extend the computing experience beyond the flat glass screen by placing and embedding virtual objects holograms) into the physical world ? Interact with the holograms using gaze, gestures, and voice ? Enhance the experience with spatial sound ? Allow multiple users to naturally collaborate with each other ? Integrate voice commands into your own HoloLens projects ? Experiment with techniques to better understand the real world ? Implement a user interface in Mixed Reality ? Blend the virtual and physical world by making the holograms interact and react to the physical environment In Detail Are you a developer who is fascinated with Microsoft HoloLens and its capabilities? Do you want to learn the intricacies of working with the HoloLens SDK and create your own apps? If so, this is the book for you. This book introduces and demystifies the HoloLens platform and introduces new ways you can interact with computers (Mixed Reality). It will teach you the important concepts, get you excited about the possibilities, and give you the tools to continue exploring and experimenting. You will go through the journey of creating four independent examples throughout the book, two using DirectX and two using Unity. You will learn to implement spatial mapping and gesture control, incorporate spatial sound, and work with different types of input and gaze. You will also learn to use the Unity 5 SDK for HoloLens and create apps with it. Collectively, the apps explore the major concepts of HoloLens, but each app is independent, giving you the flexibility to choose where to start (and end). Style and approach This book takes an example-based approach where you’ll build AR apps with increasing difficulty. You will learn more about HoloLens platform as well as AR app development in general.

Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial About This Book ? Process and analyze big data in a distributed and scalable way ? Write sophisticated Spark pipelines that incorporate elaborate extraction ? Build and use regression models to predict flight delays Who This Book Is For Are you a developer with a background in machine learning and statistics who is feeling limited by the current slow and “small data” machine learning tools? Then this is the book for you! In this book, you will create scalable machine learning applications to power a modern data-driven business using Spark. We assume that you already know the machine learning concepts and algorithms and have Spark up and running (whether on a cluster or locally) and have a basic knowledge of the various libraries contained in Spark. What You Will Learn ? Use Spark streams to cluster tweets online ? Run the PageRank algorithm to compute user influence ? Perform complex manipulation of DataFrames using Spark ? Define Spark pipelines to compose individual data transformations ? Utilize generated models for off-line/on-line prediction ? Transfer the learning from an ensemble to a simpler Neural Network ? Understand basic graph properties and important graph operations ? Use GraphFrames, an extension of DataFrames to graphs, to study graphs using an elegant query language ? Use K-means algorithm to cluster movie reviews dataset In Detail The purpose of machine learning is to build systems that learn from data. Being able to understand trends and patterns in complex data is critical to success; it is one of the key strategies to unlock growth in the challenging contemporary marketplace today. With the meteoric rise of machine learning, developers are now keen on finding out how can they make their Spark applications smarter. This book gives you access to transform data into actionable knowledge. The book commences by defining machine learning primitives by the MLlib and H2O libraries. You will learn how to use Binary classification to detect the Higgs Boson particle in the huge amount of data produced by CERN particle collider and classify daily health activities using ensemble Methods for Multi-Class Classification. Next, you will solve a typical regression problem involving flight delay predictions and write sophisticated Spark pipelines. You will analyze Twitter data with help of the doc2vec algorithm and K-means clustering. Finally, you will build different pattern mining models using MLlib, perform complex manipulation of DataFrames using Spark and Spark SQL, and deploy your app in a Spark streaming environment. Style and approach This book takes a practical approach to help you get to grips with using Spark for analytics and to implement machine learning algorithms. We'll teach you about advanced applications of machine learning through illustrative examples. These examples will equip you to harness the potential of machine learning, through Spark, in a variety of enterprise-grade systems.

Unleash the power of Android Studio 3 to develop mobile applications faster and efficiently. About This Book ? Use Android Studio not just as an IDE but as a complete testing and build solution ? Produce customized APKs with Gradle to suit various versions of an app, such as test versions and free versions of an otherwise paid app. ? Explore all aspects of UI development and testing using working XML and Java examples. ? Learn seamless migration from Eclipse and other development platforms to Android Studio. Who This Book Is For This book targets developers, with experience of developing for Android, who are new to Android Studio or wish to migrate from another IDE such as Eclipse. This book will show you how to get the utmost from this powerful tool. What You Will Learn ? Create styles, themes, and material designs ? Set up, configure, and run virtual devices using the AVD manager ? Improve the design of your application using support libraries ? Learn about GitHub libraries ? Use emulators to design layouts for a wide variety of devices, including wearables. ? Improve application performance in terms of memory, speed, and power usage In Detail Android Studio is an Integrated Development Environment (IDE) designed for developing Android apps. As with most development processes, Android keeps resources and logic nicely separated, and so this book covers the management of imagery and other resources, and the development and testing tools provided by the IDE. After introducing the software, the book moves straight into UI development using the sophisticated, WYSIWYG layout editor and XML code to design and test complex interfaces for a wide variety of screen configurations. With activity design covered, the book continues to guide the reader through application logic development, exploring the latest APIs provided by the SDK. Each topic will be demonstrated by working code samples that can be run on a device or emulator. One of Android Studio's greatest features is the large number of third-party plugins available for it, and throughout the book we will be exploring the most useful of these, along with samples and libraries that can be found on GitHub. The final module of the book deals with the final stages of development: building and distribution. The book concludes by taking the reader through the registration and publication processes required by Google. By the time you have finished the book, you will be able to build faster, smoother, and error-free Android applications, in less time and with fewer complications than you ever thought possible. Style and approach This is a step-by-step guide with examples demonstrating how Android Studio can be used as a complete solution for developing, testing, and deploying apps from start to finish.

Deploy, manage, and scale virtual instances using Kernel-based Virtual Machines About This Book ? Build, manage and scale virtual machines with practical step-by-step examples ? Leverage the libvirt user-space tools and libraries to manage the life-cycle of KVM instances ? Deploy and scale applications inside KVM virtual machines with OpenStack Who This Book Is For If you are a system administrator working KVM virtualization, this book will help you grow on your expertise of working with the infrastructure to manage things in a better way. You should have a knowledge of working with Linux based systems. What You Will Learn ? Deploy different workloads in isolation with KVM virtualization and better utilize the available compute resources ? Explore the benefits of running applications with KVM and learn to prevent the “bad-neighbor” effect ? Leveraging various networking technologies in the context of virtualization with Open vSwitch and the Linux bridge. ? Create KVM instances using Python and inspect running KVM instances ? Understand Kernel Tuning for enhanced KVM performance and better memory utilization In Detail Virtualization technologies such as KVM allow for better control over the available server resources, by deploying multiple virtual instances on the same physical host, or clusters of compute resources. With KVM it is possible to run various workloads in isolation with the hypervisor layer providing better tenant isolation and higher degree of security. This book will provide a deep dive into deploying KVM virtual machines using qemu and libvirt and will demonstrate practical examples on how to run, scale, monitor, migrate and backup such instances. You will also discover real production ready recipes on deploying KVM instances with OpenStack and how to programatically manage the life cycle of KVM virtual machines using Python. You will learn numerous tips and techniques which will help you deploy & plan the KVM infrastructure. Next, you will be introduced to the working of libvirt libraries and the iPython development environment. Finally, you will be able to tune your Linux kernel for high throughput and better performance. By the end of this book, you will gain all the knowledge needed to be an expert in working with the KVM virtualization infrastructure. Style and approach This book takes a complete practical approach with many step-by-step example recipes on how to use KVM in production. The book assumes certain level of expertise with Linux systems and virtualization in general. Some knowledge of Python programming is encouraged, to fully take advantage of the code recipes.