Learn how to use R to apply powerful machine learning methods and gain insight into real-world applications using clustering, logistic regressions, random forests, support vector machine, and more. Key Features * Use R 3.5 to implement real-world examples in machine learning * Implement key machine learning algorithms to understand the working mechanism of smart models * Create end-to-end machine learning pipelines using modern libraries from the R ecosystem Book Description Machine Learning with R Quick Start Guide takes you on a data-driven journey that starts with the very basics of R and machine learning. It gradually builds upon core concepts so you can handle the varied complexities of data and understand each stage of the machine learning pipeline. From data collection to implementing Natural Language Processing (NLP), this book covers it all. You will implement key machine learning algorithms to understand how they are used to build smart models. You will cover tasks such as clustering, logistic regressions, random forests, support vector machines, and more. Furthermore, you will also look at more advanced aspects such as training neural networks and topic modeling. By the end of the book, you will be able to apply the concepts of machine learning, deal with data-related problems, and solve them using the powerful yet simple language that is R. What you will learn * Introduce yourself to the basics of machine learning with R 3.5 * Get to grips with R techniques for cleaning and preparing your data for analysis and visualize your results * Learn to build predictive models with the help of various machine learning techniques * Use R to visualize data spread across multiple dimensions and extract useful features * Use interactive data analysis with R to get insights into data * Implement supervised and unsupervised learning, and NLP using R libraries Who this book is for This book is for graduate students, aspiring data scientists, and data analysts who wish to enter the field of machine learning and are looking to implement machine learning techniques and methodologies from scratch using R 3.5. A working knowledge of the R programming language is expected.

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python. Key Features * Get a hands-on, fast-paced introduction to the Python data science stack * Explore ways to create useful metrics and statistics from large datasets * Create detailed analysis reports with real-world data Book Description Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. With this book, you'll learn practical techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems. The book begins with an introduction to data manipulation in Python using pandas. You'll then get familiar with statistical analysis and plotting techniques. With multiple hands-on activities in store, you'll be able to analyze data that is distributed on several computers by using Dask. As you progress, you'll study how to aggregate data for plots when the entire data cannot be accommodated in memory. You'll also explore Hadoop (HDFS and YARN), which will help you tackle larger datasets. The book also covers Spark and explains how it interacts with other tools. By the end of this book, you'll be able to bootstrap your own Python environment, process large files, and manipulate data to generate statistics, metrics, and graphs. What you will learn * Use Python to read and transform data into different formats * Generate basic statistics and metrics using data on disk * Work with computing tasks distributed over a cluster * Convert data from various sources into storage or querying formats * Prepare data for statistical analysis, visualization, and machine learning * Present data in the form of effective visuals Who this book is for Big Data Analysis with Python is designed for Python developers, data analysts, and data scientists who want to get hands-on with methods to control data and transform it into impactful insights. Basic knowledge of statistical measurements and relational databases will help you to understand various concepts explained in this book.

Apply cloud native patterns and practices to deliver responsive, resilient, elastic, and message-driven systems with confidence Key Features * Discover best practices for applying cloud native patterns to your cloud applications * Explore ways to effectively plan resources and technology stacks for high security and fault tolerance * Gain insight into core architectural principles using real-world examples Book Description Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems. This Learning Path teaches you everything you need to know for designing industry-grade cloud applications and efficiently migrating your business to the cloud. It begins by exploring the basic patterns that turn your database inside out to achieve massive scalability. You’ll learn how to develop cloud native architectures using microservices and serverless computing as your design principles. Then, you’ll explore ways to continuously deliver production code by implementing continuous observability in production. In the concluding chapters, you’ll learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform, and understand the future trends and expectations of cloud providers. By the end of this Learning Path, you’ll have learned the techniques to adopt cloud native architectures that meet your business requirements. This Learning Path includes content from the following Packt products: * Cloud Native Development Patterns and Best Practices by John Gilbert * Cloud Native Architectures by Erik Farr et al. What you will learn * Understand the difference between cloud native and traditional architecture * Automate security controls and configuration management * Minimize risk by evolving your monolithic systems into cloud native applications * Explore the aspects of migration, when and why to use it * Apply modern delivery and testing methods to continuously deliver production code * Enable massive scaling by turning your database inside out Who this book is for This Learning Path is designed for developers who want to progress into building cloud native systems and are keen to learn the patterns involved. Software architects, who are keen on designing scalable and highly available cloud native applications, will also find this Learning Path very useful. To easily grasp these concepts, you will need basic knowledge of programming and cloud computing.

Leverage the power of reward-based training for your deep learning models with Python Key Features * Understand Q-learning algorithms to train neural networks using Markov Decision Process (MDP) * Study practical deep reinforcement learning using Q-Networks * Explore state-based unsupervised learning for machine learning models Book Description Q-learning is a machine learning algorithm used to solve optimization problems in artificial intelligence (AI). It is one of the most popular fields of study among AI researchers. This book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you get familiar with OpenAI Gym as well as libraries such as Keras and TensorFlow. A few chapters into the book, you will gain insights into modelfree Q-learning and use deep Q-networks and double deep Q-networks to solve complex problems. This book will guide you in exploring use cases such as self-driving vehicles and OpenAI Gym’s CartPole problem. You will also learn how to tune and optimize Q-networks and their hyperparameters. As you progress, you will understand the reinforcement learning approach to solving real-world problems. You will also explore how to use Q-learning and related algorithms in real-world applications such as scientific research. Toward the end, you’ll gain a sense of what’s in store for reinforcement learning. By the end of this book, you will be equipped with the skills you need to solve reinforcement learning problems using Q-learning algorithms with OpenAI Gym, Keras, and TensorFlow. What you will learn * Explore the fundamentals of reinforcement learning and the state-action-reward process * Understand Markov decision processes * Get well versed with libraries such as Keras, and TensorFlow * Create and deploy model-free learning and deep Q-learning agents with TensorFlow, Keras, and OpenAI Gym * Choose and optimize a Q-Network’s learning parameters and fine-tune its performance * Discover real-world applications and use cases of Q-learning Who this book is for If you are a machine learning developer, engineer, or professional who wants to delve into the deep learning approach for a complex environment, then this is the book for you. Proficiency in Python programming and basic understanding of decision-making in reinforcement learning is assumed.

Explore the exciting world of machine learning with the fastest growing technology in the world Key Features * Understand various machine learning concepts with real-world examples * Implement a supervised machine learning pipeline from data ingestion to validation * Gain insights into how you can use machine learning in everyday life Book Description Machine learning—the ability of a machine to give right answers based on input data—has revolutionized the way we do business. Applied Supervised Learning with Python provides a rich understanding of how you can apply machine learning techniques in your data science projects using Python. You'll explore Jupyter Notebooks, the technology used commonly in academic and commercial circles with in-line code running support. With the help of fun examples, you'll gain experience working on the Python machine learning toolkit—from performing basic data cleaning and processing to working with a range of regression and classification algorithms. Once you’ve grasped the basics, you'll learn how to build and train your own models using advanced techniques such as decision trees, ensemble modeling, validation, and error metrics. You'll also learn data visualization techniques using powerful Python libraries such as Matplotlib and Seaborn. This book also covers ensemble modeling and random forest classifiers along with other methods for combining results from multiple models, and concludes by delving into cross-validation to test your algorithm and check how well the model works on unseen data. By the end of this book, you'll be equipped to not only work with machine learning algorithms, but also be able to create some of your own! What you will learn * Understand the concept of supervised learning and its applications * Implement common supervised learning algorithms using machine learning Python libraries * Validate models using the k-fold technique * Build your models with decision trees to get results effortlessly * Use ensemble modeling techniques to improve the performance of your model * Apply a variety of metrics to compare machine learning models Who this book is for Applied Supervised Learning with Python is for you if you want to gain a solid understanding of machine learning using Python. It'll help if you to have some experience in any functional or object-oriented language and a basic understanding of Python libraries and expressions, such as arrays and dictionaries.

Explore Qt framework and APIs for building cross-platform applications for mobile devices, embedded systems, and IoT Key Features * Build cross-platform applications and deploy them across mobile and connected devices * Design 2D and 3D UIs for embedded systems using Yocto and Qt Creator * Build machine to machine automation solution using QtSensors, QtMQTT, and QtWebSockets Book Description Qt is a world-class framework, helping you to develop rich graphical user interfaces (GUIs) and multi-platform applications that run on all major desktop platforms and most mobile or embedded platforms. The framework helps you connect the dots across platforms and between online and physical experience. This book will help you leverage the fully-featured Qt framework and its modular cross-platform library classes and intuitive APIs to develop applications for mobile, IoT, and industrial embedded systems. Considerations such as screen size, device orientation changes, and small memory will be discussed. We will focus on various core aspects of embedded and mobile systems, such as connectivity, networking, and sensors; there is no IoT without sensors. You will learn how to quickly design a flexible, fast, and responsive UI that looks great. Going further, you will implement different elements in a matter of minutes and synchronize the UI elements with the 3D assets with high precision. You will learn how to create high-performance embedded systems with 3D/2D user interfaces, and deploy and test on your target hardware. The book will explore several new features, including Qt for WebAssembly. At the end of this book, you will learn about creating a full software stack for embedded Linux systems using Yocto and Boot to Qt for Device Creation. What you will learn * Explore the latest features of Qt, such as preview for Qt for Python and Qt for WebAssembly * Create fluid UIs with a dynamic layout for different sized screens * Deploy embedded applications on Linux systems using Yocto * Design Qt APIs for building applications for embedded and mobile devices * Utilize connectivity for networked and machine automated applications * Discover effective techniques to apply graphical effects using Qt Quick apps Who this book is for The book is ideal for mobile developers, embedded systems engineers and enthusiasts who are interested in building cross-platform applications with Qt. Prior knowledge of C++ is required.

Create end-to-end systems that can power robots with artificial vision and deep learning techniques Key Features * Study ROS, the main development framework for robotics, in detail * Learn all about convolutional neural networks, recurrent neural networks, and robotics * Create a chatbot to interact with the robot Book Description Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video. By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment. What you will learn * Explore the ROS and build a basic robotic system * Understand the architecture of neural networks * Identify conversation intents with NLP techniques * Learn and use the embedding with Word2Vec and GloVe * Build a basic CNN and improve it using generative models * Use deep learning to implement artificial intelligence(AI)and object recognition * Develop a simple object recognition system using CNNs * Integrate AI with ROS to enable your robot to recognize objects Who this book is for Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus.

Work with the powerful subscription software, Office 365 to increase your organization's efficiency by managing file sharing, email exchange and much more. Key Features * Become well versed with Office 365 and leverage its capabilities for your business * Speed up your workflow and effectively collaborate using Office Web Apps * Learn to set audio and web conferences and seamlessly access your workspace Book Description Microsoft Office 365 combines the popular Office suite with next-generation cloud computing capabilities. With this user guide, you'll be able to implement its software features for effective business communication and collaboration. This book begins by providing you with a quick introduction to the user interface (UI) and the most commonly used features of Office 365. After covering the core aspects of this suite, you'll learn how to perform various email functions via Exchange. Next, you will learn how to communicate using Skype for Business and Microsoft Teams. To boost your productivity, this book will help you learn everything from using instant messaging to conducting audio and web conferences, and even accessing business information from any location. In the final chapters, you will learn to work in a systematic style using file management and collaboration with OneDrive for Business using SharePoint. By the end of this book, you'll be equipped with the knowledge you need to take full advantage of Office 365 and level up your organization's productivity. What you will learn * Understand the UI of Office 365 * Perform a variety of email functions through Exchange * Communicate using Skype for Business and Microsoft Teams * Explore file management using OneDrive for Business * Collaborate using SharePoint * Understand how to leverage Office 365 in your daily tasks Who this book is for If you are an IT professional who wants to upgrade your traditional Office suite, this book is for you. Users looking to learn, configure, manage, and maintain an Office 365 environment in their organization will also find this book useful. Some understanding of Microsoft Office Suite and cloud computing basics will be beneficial.

Your quick, no-nonsense guide to building real-world apps with Angular 2About This Book·The first and best overview of Angular 2 on the market—this guide gathers together everything there is to know about Angular 2 and groups it into intuitive sections.·This book is your detailed map of every feature and its use cases.·The author has done all the hard work of fitting everything Angular 2 means for developers together for you, making this book the quickest way to learn Angular 2 from scratch.Who This Book Is ForThis book is targeted at web developers who want to build the next generation of state-of-the-art mobile and desktop web applications with Angular 2. This book does not require you to have prior exposure to either Angular 1.x or 2, although comprehensive knowledge of JavaScript is assumed. It's great for newcomers to Angular who learn best through clear explanations and definitions of concepts.What You Will Learn·Set up your working environment in order to have all the tools you need to start building Angular 2 components with minimum effort·Get up to speed with TypeScript, a powerful typed superset of JavaScript that compiles to plain JavaScript·Take full control of how your data is rendered and updated upon data changes·Build powerful web applications based on structured component hierarchies that emit and listen to events and data changes throughout the elements tree·Explore how to consume external APIs and data services and allow data editing by harnessing the power of web forms made with Angular 2·Deliver seamless web navigation experiences with application routing and state handling common features with ease·Discover how to bulletproof your applications by introducing smart unit testing techniques and debugging toolsIn DetailAngular 2 was conceived as a complete rewrite in order to fulfill the expectations of modern developers who demand blazing fast performance and responsiveness from their web applications.This book will help you learn the basics of how to design and build Angular 2 components right from the beginning, providing full coverage of the TypeScript syntax required to follow the examples included. From that point on, we will build upon our first components, interconnect them, and give shape to larger web applications. We will then move to implementing routing in Angular 2, analyzing how to handle application states, and navigating from one component to another in depth. After this, the book features full coverage of web forms and user input validation, later leveraging all of this information to go through the basics of implementing user authentication in Angular 2 and providing a bird's eye view of the different strategies at hand to secure pages and areas of your website. Animating components and DOM elements with Angular 2 is also covered in this book. The final part of this book provides broad insights into how to unit test components and other modules such as services, directives, routes or pipes.Style and approachThis book covers everything there is to know about getting well-acquainted with Angular without bogging you down. Everything is neatly laid out under clear headings for quick consultation, offering you the information required to understand a concept immediately, with short relevant examples of each feature.

☆★☆ Javascript: Javascript Programming For Absolute Beginners☆★☆ The best starter guide for javascript!The fundamentals of javascript are often missed, however, this book's primary focus and emphasis is learning the essentials and to build from the ground up.? What You'lll Learn The history of JavaScript and its uses Setting Up Your Environment The Vital Basics of HTML and CSS Statements, Comments & Variables How to properly use jQuery String Operators JavaScript Array Methods Loops and Iteration How To Use Functions And much, much more! ? Within this book you will learn various mechanisms of javascript programming: variables, conditional statements, and why learning these core principles lead to success.Once you gain knowledge of the fundamental building blocks of javascript you will gain confidence to tackle more complex topics down the road.Programming books can easily retail for 100s of dollars, why not start with an expert you can trust and for an affordable price?The immense value of this book cannot be understated, and this is a once in a life time opportunity for you to take advantage of and invest in yourself by empowering yourself with the right tools and knowledge for success.What are you waiting for?Includes: 21 practice questions! Note* For best visual experience of diagrams it is highly recommend you purchases the paperback version for best image quality.☆★☆ Grab your copy now!☆★☆

Bu kitap “Bili?im Teknolojileri (BT) Ekonomisi ve Toplumu” adl? ilk kitab?mda BT’lerin hayat?m?z? de?i?tirdi?i d?rt yerdeki (Evde, okulda, kentlerde ve i?yerlerinde) incelememin ü?üncüsü olan i?yerlerindeki etkileri üzerinedir. Daha ?nce “Bili?im Teknolojileri Destekli ??renim” ve “Bili?im Kentleri ?a??” adl? kitaplar?mda BT’lerin okul ve kent ya?am?ndaki etkilerini detaylar?yla inceledim. 30 y?l? a?an i? hayat?mda BT’lerin i? dünyas?n? ve y?netimini kurulan Bili?im Sistemleri (BS) vas?tas?yla nas?l de?i?tirdi?ini ya?ayarak bildi?imden bu konu i?in uzun bir ara?t?rma yapmak zorunda oldu?umu biliyordum. Di?er yandan 592 sayfay? bulan bu ara?t?rmada sayfa s?n?rlamas? amac?yla BS’lerle ilgili baz? konular? (?rne?in Toplam Kalite Y?netimi, 6 Sigma, Simülasyon, Gereksinim Y?netimi, Programlama vs.) kitap haricinde b?rakmak zorunda kald???m? da belirtmeliyim. Bu kitapta a??rl?kl? olarak BT’lerin i?letmelerdeki uygulamas? olan Bili?im Sistemlerinden bahsettim ?ünkü BT’ler BS’ler vas?tas?yla i?letmeleri ve y?netimlerini etkilemektedirler. Dünyan?n en h?zl? bilgisayar?n? veya en yeni ak?ll? telefonunu sat?n alman?z veya en h?zl? internet eri?imine sahip olman?z i?letmeye ekstra bir katk? sa?lamamaktad?r. Ne zaman ki bu ara?lar i?letme süre?lerinin otomasyonunu sa?layan BS’ler i?inde kullan?lmaya ba?lan?nca i?letme rekabet?ili?ine, kar?na veya maliyetlerinin kontrolüne bir faydas? olabilmektedir. Bu yüzden i?letme y?neticilerinin bilmesi gereken en ?nemli konu BT ara?lar?n? ve di?er yeni teknolojik ara?lar? i?letme i? süre?lerinde nas?l verimli ve etkin bir ?ekilde kullanabileceklerini bilmeleridir. Bilmiyorlarsa da bilenleri i?e almalar?d?r. En son yenilikleri kullanmak belki de firmaya zarar vermekte veya rekabet dezavantaj? olu?turmaktad?r. Bu a??dan ?ncelikle bugün BS’lerin hangi i?letme fonksiyonlar?n? nas?l etkiledi?ini ve gelecekte nas?l etkileyebilece?ini anlatmaya ?al??t?m. ?rne?in, Yapay Zek? (YZ) ve onun en ?nemli uygulamalar?ndan birisi olan Robotiklerin i? süre?leri ve i?letme y?netimlerini yak?n bir zamanda nas?l etkileyebilece?inden bahsettim. Endüstri 4.0 teknolojileriyle insan ve makinelerin birlikte nas?l verimli ve etkin bir ?ekilde ?al??malar? gerekti?i insanl???n ve i?letmelerin ?nünde duran en ?nemli konulardan birisi oldu?unu s?ylemek fazla fütüristik bir kehanet de?il. Kitapta ??letmelerde kullan?lan Bili?im Sistemleriyle ilgili temel konulara bir bütünlük i?inde bakarken kitab?n arka kapa??ndaki sorular? cevaplamaya ?al??t?m. Bili?im Sistemleri aras?ndaki ili?kileri, farkl?l?klar?n? ve birbirlerini nas?l tamamlad?klar?n? sat?r aralar?nda vermeye ?al??t?m. BS’lerle i?letme süre?lerinin nas?l bütünle?tirilece?i i?letmelerdeki en yeni y?netim sorunlar? oldu?u unutulmamal?d?r. ??letme y?neticilerinin hat?rlamas? gereken bir ?nemli konuda BS’lerin bir yaz?l?m ve de?i?im projesi olmas?d?r. Bili?im Teknolojileri ve Sistemleri okuryazarl??? i?in bilinmesi gereken baz? teknik, bilimsel ve teknolojik terimlerin k?saltmalar?n? kitapta ilk kullan?ld???nda uzun ve k?salt?lm?? yaz?l?mlar?yla birlikte kulland?m. ?rne?in Veritabanlar? (VT), Veri ??leme Sistemi (V?S), Kurumsal ?? Zek?s? (K?Z), Y?netim Bili?im Sistemi (YBS), Karar Destek Sistemi (KDS), Veri Ambar? (VA), Veri Madencili?i (VM), Kurumsal Kaynak Planlama (KKP), Mü?teri ?li?kileri Y?netimi (M?Y), Tedarik Zinciri Y?netimi (TZY), Ofis Otomasyon Sistemi (OOS) ve Bilgi Y?netimi (BY) en fazla kulland???m k?saltmalard?r. Kitap sonundaki “K?saltmalar” tablosunda tüm k?saltmalar? listelemeye ?al??t?m. Ayr?ca bir?ok terimin ?ngilizcesini de parantez i?inde vermeye ?al??t?m. ?rne?in Veritabanlar? (Database) gibi. Dilimize girmi? bir?ok yabanc? teknik terim ve kelimelerin Türk?esini kullanmaya ?zen g?sterdim ve bu yabanc? kelimeleri de parantez i?inde yazd?m. Ayr?ca BT’lerin BS’ler vas?tas?yla i?letmeler üzerindeki etkilerini incelerken, birazda üniversitelerimizde YBS b?lümlerinde okutulan BS’lerle ilgili uzmanl?k konular?n?n ?o?unu ?zetlemeye ?al??t?m. ?zellikle i? Dünyas?nda ?ok?a kullan?lan baz? konulara (V?S, YBS, KDS, VT, VA, BY, US, KKP, M?Y, Sistem yakla??m?, SGYD vs.) biraz detayl? bakmaya ?al??t?m. K?sacas? kitapta i?letmelerde Bili?im Teknolojileri ve Sistemleri denince akla gelebilecek bir?ok konuya de?inmeye ?al??t?m. Bu yüzden bu kitab?n BS alan?nda bir elkitab? veya kaynak kitap olarak dü?ünülmesinde fayda vard?r. Bu kitapta ilkokul ??retmenim Say?n ?erare ?zya?c? han?mdan, en son Doktora tez dan??man?m say?n Prof. Dr. Len Rogers’a kadar yüzlerce ki?inin eme?inin oldu?u unutulmamal?d?r. 1984’ten beri Türkiye, ABD, Kanada ve ?ngiltere de ?al??t???m veya dan??manl???n? yapt???m onlarca firma ve mü?terilerimin katk?lar?n? unutabilir miyim? Burada isim isim te?ekkür edemedi?im ancak bu kitab?n yaz?lmas?nda katk?lar? olan daha yüzlerce ki?i var, hepsine en i?ten dileklerimle te?ekkür ederim. Hayatta neyi tek ba??m?za yapabiliyoruz ki? Bu kitap 30+ y?ld?r üretim planlama ve stok kontrol müdürü, metot etüdcü, sistem analisti, programc?, VT tasar?mc?s?

“Bili?im Teknolojileri” konusunda yazd???m ü? kitaptan sonra as?l uzmanl?k alan?m olan veritabanlar? konusunda uzun y?llar ?nce yazmaya ba?lay?p bitiremedi?im daha do?rusu bas?lmayan bu kitab? güncelleyerek yeniden yazmaya karar vermek benim a??mdan yeni bir heyecan oldu. 1980’lerde COBOL ile ba?layan ve 1990’da dBase ve Informix’le devam eden veritaban? tecrübelerim, 1995 sonras? MS-Access ve SQL Server yard?m?yla geli?tirdi?im 100’e yak?n veritaban? uygulama programlar?yla devam etti. 1996’da Dallas’ta MCI Systemhouse’da FrontPage ve Access 95’le veritaban?na dayal? Intranet web siteleri geli?tiren ilk ki?ilerden birisi ben oldum. 1999’da Movo Mediya’da ilk ??p?atan web sitesi www.dating.com'un?arkas?ndaki SQL Server veritabanlar?n? tasarlayan ve y?neten ki?i de bendim. 2000 y?l?nda Aris Genesis Intermedia Inc’de web tabanl? muhasebe program?n?n arkas?ndaki SQL Server veritaban? tasar?mc?lar?ndan biriside bendim. Büyük al??veri? merkezlerinde g?rülen Kiosk’lar?n SQL Server tabanl? ilk uygulamas?n? Los Angeles’de kuran Genesis Intermedia Inc’deki tasar?mlar? yapan ki?ilerden birisi de bendim. 2001’de Los Angeles’de SQL Server ve ASP 3.0’la Citibank’ta kredi kartlar?yla ilgili projenin mimarlar?ndan biriside bendim. K?sacas? Veritabanlar?n?n Web’de kullan?lmas?nda ilk ?al??an ve tasarlayanlardan birisi oldu?umu s?ylemeliyim. 1995-2000 y?llar? aras?nda ya?anan ve dot com bom olarak bilinen metaforun i?inde bir fiil ?al??an ve yarat?c?lar?ndan birisiydim. Veritabanlar?n?n Internet’e ba?lanmas? i?in geli?tirilen ilk projelerinde uzun y?llar Kalifornya, New York ve Colorado firmalar?nda ?al??t?m ve dan??manl?k yapt?m. Bu tecrübelerim s?ras?nda ??rendi?im en ?nemli ?ey; tek bir konuda uzman olmak gerekti?idir. Ben Ms-Access ve SQL Server veritabanlar? tasar?m?nda uzmanla?t?m. Bir?ok teklif olmas?na ra?men Oracle, DB2, Aproach, File Maker gibi veritabanlar? tasar?mlar?yla ilgilenmedim ?ünkü her biri ayr? bir uzmanl?k isteyen veritaban? yaz?l?mlar?d?r. Bu a??dan ?zellikle Bili?im sekt?ründe ?al??anlara verebilece?im en ?nemli tavsiye tek bir konuda hatta tek bir programda uzmanla?malar?d?r. Kitapta Veritabanlar? tasar?m?n? Access ve SQL Server projeleri üzerinden anlatmaya ?al??t?m. University of Phoenix’de verdi?im Veritabanlar? ve Veri Ambarlar? ders notlar?m bu kitab?n omurgas?n? olu?turmaktad?r. Veritabanlar?yla ilgili kavramlar?, felsefesini, tasar?m?n? ve birazda y?netimini detaylar?yla anlatmaya ?al??t?m. Umut ediyorum ki yeni Veritaban? tasar?mc?lar? ve y?neticilerine burada payla?t???m enformasyon faydal? olur. 30 y?ll?k Bili?im Teknolojileri ve ?zellikle veritaban? alan?ndaki tecrübelerimin bir?o?unu bu kitapta okuyucularla payla?maya ?al??t?m. Daha ?nceki kitaplar?mda da vurgulad???m gibi bu kitapta da ilkokul ??retmenim Say?n ?erare ?zya?c? han?mdan, en son Doktora tez dan??man?m Say?n Prof. Dr. Len Rogers’a kadar yüzlerce ki?inin eme?inin oldu?u unutulmamal?d?r. 1984’ten beri Türkiye, ABD, Kanada ve ?ngiltere de ?al??t???m veya dan??manl???n? yapt???m onlarca firma ve mü?terilerimin katk?lar?n? unutabilir miyim? Di?er kitaplarda oldu?u gibi bu kitab?n yaz?lmas?nda bana katlanan e?im Meliha ?oruh’a ve o?lum Bu?ra’ya da en ba?tan te?ekkür etmeliyim. Burada isim isim te?ekkür edemedi?im ancak bu kitab?n yaz?lmas?nda katk?lar? olan daha yüzlerce ki?i var, hepsine en i?ten dileklerimle te?ekkür ediyorum. Elinizde tuttu?unuz bu kitap 30 y?ld?r Bili?im Teknolojileri alan?nda yapt???m ??retim, ?al??ma ve tecrübelerin veritabanlar? alan?nda kay?t alt?na al?nm?? bir ?zetidir. Tabii ki kitab?n hatalar? ve eksikleri vard?r ve bunlar tamamen bana aittir. Kitapta Veritabanlar? denince akla gelebilecek bir?ok konuya de?inmeye ?al??t?m. Kitapta teori ile uygulamay? birlikte harmanlamaya ?al??t?m. Bu yüzden bu kitab?n bir elkitab? veya kaynak kitap olarak dü?ünülmesinde fayda vard?r. ? Mustafa ?oruh Kdz. Ere?li, Mart 2017

How To Learn Microsoft SQL Server Quickly!

Python: Beginner's Guide to Programming Code with Python

A step-by-step guide to get you up and running with Azure Networking Services and help you build solutions that leverage effective design patterns About This Book ? Learn best practices for designing and implementing Azure Networking for Azure VMs ? Figure out the hidden secrets to designing a cost-effective environment ? Plan, design, and implement various connectivity scenarios in Azure Who This Book Is For This book is for developers, IT professionals, and database admins who have prior experience of working on Microsoft Azure and want to make the most out of Azure Networking Services. What You Will Learn ? Understand Azure networking and use the right networking service to fulfill your needs ? Design Azure Networks for Azure VMs according to best practices ? Span your environment with Azure networking solutions ? Learn to use Azure DNS ? Implement Azure Load Balancer for highly available environments ? Distribute user traffic across the world via the Azure Traffic Manager ? Control your application delivery with Azure Application Gateway In Detail Microsoft Azure networking is one of the most valuable and important offerings in Azure. No matter what solution you are building for the cloud, you'll find a compelling use for it. This book will get you up to speed quickly on Microsoft Azure Networking by teaching you how to use different networking services. By reading this book, you will develop a strong networking foundation for Azure virtual machines and for expanding your on-premise environment to Azure. Hands-On Networking with Azure starts with an introduction to Microsoft Azure networking and creating Azure Virtual Networks with subnets of different types within them. The book helps you understand the architecture of Azure networks. You will then learn the best practices for designing both Windows- and Linux-based Azure VM networks. You will also learn to expand your networks into Azure and how to use Azure DNS. Moreover, you will master best practices for dealing with Azure Load Balancer and the solutions they offer in different scenarios. Finally, we will demonstrate how the Azure Application Gateway works, offering various layer-7 load balancing capabilities for applications. By the end of this book, you will be able to architect your networking solutions for Azure. Style and approach This book provides in-depth insights into properly designing your environment and saving money on your running Azure Services. Using cutting-edge examples, you will learn to efficiently monitor, diagnose, and troubleshoot Azure Networking

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide About This Book ? A quick reference to all important deep learning concepts and their implementations ? Essential tips, tricks, and hacks to train a variety of deep learning models such as CNNs, RNNs, LSTMs, and more ? Supplemented with essential mathematics and theory, every chapter provides best practices and safe choices for training and fine-tuning your models in Keras and Tensorflow. Who This Book Is For If you are a Data Scientist or a Machine Learning expert, then this book is a very useful read in training your advanced machine learning and deep learning models. You can also refer this book if you are stuck in-between the neural network modeling and need immediate assistance in getting accomplishing the task smoothly. Some prior knowledge of Python and tight hold on the basics of machine learning is required. What You Will Learn ? Solve regression and classification challenges with TensorFlow and Keras ? Learn to use Tensor Board for monitoring neural networks and its training ? Optimize hyperparameters and safe choices/best practices ? Build CNN's, RNN's, and LSTM's and using word embedding from scratch ? Build and train seq2seq models for machine translation and chat applications. ? Understanding Deep Q networks and how to use one to solve an autonomous agent problem. ? Explore Deep Q Network and address autonomous agent challenges. In Detail Deep learning has become an essential necessity to enter the world of artificial intelligence. With this book deep learning techniques will become more accessible, practical, and relevant to practicing data scientists. It moves deep learning from academia to the real world through practical examples. You will learn how Tensor Board is used to monitor the training of deep neural networks and solve binary classification problems using deep learning. Readers will then learn to optimize hyperparameters in their deep learning models. The book then takes the readers through the practical implementation of training CNN's, RNN's, and LSTM's with word embeddings and seq2seq models from scratch. Later the book explores advanced topics such as Deep Q Network to solve an autonomous agent problem and how to use two adversarial networks to generate artificial images that appear real. For implementation purposes, we look at popular Python-based deep learning frameworks such as Keras and Tensorflow, Each chapter provides best practices and safe choices to help readers make the right decision while training deep neural networks. By the end of this book, you will be able to solve real-world problems quickly with deep neural networks. Style and approach An easy-to-follow, step-by-step guide to help you get to grips with real-world applications of training deep neural networks.

Become an expert Vue developer by understanding the design patterns and component architecture of Vue.js to write clean and maintainable code. About This Book ? Craft highly modular applications by exploring the design patterns and component architecture of Vue.js ? Enforce a Flux-like application architecture in your Vue.js applications with Vuex ? Easy-to-follow examples that can be used to create reusable code and extensible designs Who This Book Is For This book targets Vue Developers who care about framework design principles and utilize commonly found design patterns in developing web applications. What You Will Learn ? Understand the theory and patterns of Vue.js ? Build scalable and modular Vue.js applications ? Take advantage of Vuex for reactive state management. ? Create Single Page Applications with vue-router. ? Use Nuxt for FAST server side rendered Vue applications. ? Convert your application to a Progressive Web App (PWA) and add ServiceWorkers, offline support, and more ? Build your app with Vue.js by following up with best practices and explore the common anti-patterns to avoid In Detail The book starts by comparing Vue.js with other frameworks and setting up the development environment for your application, and gradually move on to writing and styling clean, maintainable, and reusable components that can be used across your application. Further on, you'll look at common UI patterns, Vue form submission, and various modifiers such as lazy binding, number typecasting, and string trimming to create better UIs. You will also explore best practices for integrating HTTP into Vue.js applications to create an application with dynamic data. Routing is a vitally important part of any SPA, so you will focus on the Vue router and explore routing a user between multiple pages. Next, you'll also explore state management with Vuex, write testable code for your application, and create performant, server-side rendered applications with Nuxt. Towards the end, we'll look at common antipatterns to avoid, to save you from a lot of trial and error and development headaches. By the end of this book, you'll be well on your way to becoming an expert Vue developer who can leverage design patterns to efficiently architect the design of your application and write clean and maintainable code. Style and approach This easy-to-follow practical guide will help you develop efficient Vue.js apps by following best practices and using common design patterns.

Learn how to solve real life problems using different methods like logic regression, random forests and SVM’s with TensorFlow. About This Book ? Understand predictive analytics along with its challenges and best practices ? Embedded with assessments that will help you revise the concepts you have learned in this book Who This Book Is For This book is aimed at developers, data analysts, machine learning practitioners, and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow. What You Will Learn ? Learn TensorFlow features in a real-life problem, followed by detailed TensorFlow installation and configuration ? Explore computation graphs, data, and programming models also get an insight into an example of implementing linear regression model for predictive analytics ? Solve the Titanic survival problem using logistic regression, random forests, and SVMs for predictive analytics ? Dig deeper into predictive analytics and find out how to take advantage of it to cluster records belonging to the certain group or class for a dataset of unsupervised observations ? Learn several examples of how to apply reinforcement learning algorithms for developing predictive models on real-life datasets In Detail Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business intelligence. Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum results. TensorFlow, Google’s brainchild, is immensely popular and extensively used for predictive analysis. This book is a quick learning guide on all the three types of machine learning, that is, supervised, unsupervised, and reinforcement learning with TensorFlow. This book will teach you predictive analytics for high-dimensional and sequence data. In particular, you will learn the linear regression model for regression analysis. You will also learn how to use regression for predicting continuous values. You will learn supervised learning algorithms for predictive analytics. You will explore unsupervised learning and clustering using K-meansYou will then learn how to predict neighborhoods using K-means, and then, see another example of clustering audio clips based on their audio features. This book is ideal for developers, data analysts, machine learning practitioners, and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow. This book is embedded with useful assessments that will help you revise the concepts you have learned in this book. Style and approach This is a fast-paced guide that provides a quick learning solution to all the three types of machine learning, that is, supervised, unsupervised, and reinforcement learning with TensorFlow Note: This book is a blend of text and quizzes, all packaged up keeping your journey in mind. It includes content from the following Packt product: ? Predictive Analytics with TensorFlow by Md. Rezaul Karim

Master the capabilities of Qlik Sense to design and deploy solutions that address all the Business Intelligence needs of your organization About This Book ? Create compelling dashboards and visualizations with your data by leveraging Qlik Sense's self-service model ? Perform data loading and model efficient solutions with faster performance and better governance ? Master Qlik Sense’s APIs and develop powerful mashups and fantastic extensions for visualizations and other components that run across all platforms Who This Book Is For This book is for Business Intelligence professionals and Data Analysts who want to become experts in using Qlik Sense. If you have extensively used QlikView in the past and are looking to transition to Qlik Sense, this book will also help you. A fundamental understanding of how Qlik Sense works and its features is all you need to get started with this book. What You Will Learn ? Understand the importance of self-service analytics and the IKEA-effect ? Explore all the available data modeling techniques and create efficient and optimized data models ? Master security rules and translate permission requirements into security rule logic ? Familiarize yourself with different types of Master Key Item(MKI) and know how and when to use MKI. ? Script and write sophisticated ETL code within Qlik Sense to facilitate all data modeling and data loading techniques ? Get an extensive overview of which APIs are available in Qlik Sense and how to take advantage of a technology with an API ? Develop basic mashup HTML pages and deploy successful mashup projects In Detail Qlik Sense is a powerful, self-servicing Business Intelligence tool for data discovery, analytics and visualization. It allows you to create personalized Business Intelligence solutions from raw data and get actionable insights from it. This book is your one-stop guide to mastering Qlik Sense, catering to all your organizational BI needs. You'll see how you can seamlessly navigate through tons of data from multiple sources and take advantage of the various APIs available in Qlik and its components for guided analytics. You'll also learn how to embed visualizations into your existing BI solutions and extend the capabilities of Qlik Sense to create new visualizations and dashboards that work across all platforms. We also cover other advanced concepts such as porting your Qlik View applications to Qlik Sense,and working with Qlik Cloud. Finally, you'll implement enterprise-wide security and access control for resources and data sources through practical examples. With the knowledge gained from this book, you'll have become the go-to expert in your organization when it comes to designing BI solutions using Qlik Sense. Style and approach This book provides in-depth knowledge on complex visualization processes. This guide will take you straight to complex implementation techniques. While covering the concepts, the use cases will help you understand how they work and how to utilize them.

Geometry Management, Event Handling, and more About This Book ? A Practical, guide to learn the application of Python and GUI programming with tkinter ? Create multiple cross-platform real-world projects by integrating host of third party libraries and tools ? Learn to build beautiful and highly interactive user interfaces, targeting multiple devices. Who This Book Is For This book is for a beginner to intermediate-level Pythonists who want to build modern, cross-platform GUI applications with the amazingly powerful Tkinter. Prior knowledge of Tkinter is required. What You Will Learn ? A Practical, guide to help you learn the application of Python and GUI programming with Tkinter ? Create multiple, cross-platform, real-world projects by integrating a host of third-party libraries and tools ? Learn to build beautiful and highly interactive user interfaces, targeting multiple devices. In Detail Tkinter is the built-in GUI package that comes with standard Python distributions. It is a cross-platform package, which means you build once and deploy everywhere. It is simple to use and intuitive in nature, making it suitable for programmers and non-programmers alike. This book will help you master the art of GUI programming. It delivers the bigger picture of GUI programming by building real-world, productive, and fun applications such as a text editor, drum machine, game of chess, audio player, drawing application, piano tutor, chat application, screen saver, port scanner, and much more. In every project, you will build on the skills acquired in the previous project and gain more expertise. You will learn to write multithreaded programs, network programs, database-driven programs, asyncio based programming and more. You will also get to know the modern best practices involved in writing GUI apps. With its rich source of sample code, you can build upon the knowledge gained with this book and use it in your own projects in the discipline of your choice. Style and approach An easy-to-follow guide, full of hands-on examples of real-world GUI programs. The first chapter is a must-read as it explains most of the things you need to get started with writing GUI programs with Tkinter. Each subsequent chapter is a stand-alone project that discusses some aspects of GUI programming in detail. These chapters can be read sequentially or randomly, depending on the reader's experience with Python.

Click your way to automating business processes with Salesforce Visual Workflow Key Features *Create and maintain complex business processes using Process builder *Discover how to debug and deploy Flow and Process Builder *Use new or existing Flows to work with Salesforce Lightning Experience Book Description Salesforce Management System is an information system used in CRM to automate business processes, such as sales and marketing. Process Builder is a visual tool created to automate business processes in Salesforce. It enables users with no coding expertise to build complex Salesforce workflows. The book starts with an introduction to Process Builder, focussing on the building blocks of creating Processes. Then you will learn about different applications of Process Builder for developing streamlined solutions. You will learn how to easily automate business processes and tackle complex business scenarios using Processes. The book explains the workings of the Process Builder so that you can create reusable processes. It also explains how you can migrate existing Workflow Rules to Process Builder. By the end of the book, you will have a clear understanding of how to use Flows and Process Builder to optimize code usage. What you will learn *Develop an application using point and click with the help of Process Builder *Bypass Processes for specific users *Understand the concepts of reusable processes *Handle complex business processes using Process Builder and keep them clean *Work with formulae in Process Builder to minimize the code required *Create a process with no criteria so as to minimize the amount of rework *Overcome Salesforce's known limitation in terms of referencing picklist values Who this book is for This book is for people who want to use Process Builder to automate their business requirements by clicking, not coding. A basic understanding of Salesforce is required, but not extensive programming knowledge.