Learn quick and effective techniques for developing blockchain-based distributed ledgers with ease Key Features * Discover why blockchain is a game changer in the technology landscape * Set up blockchain networks using Hyperledger Fabric * Write smart contracts at speed with Hyperledger Composer Book Description Blockchain and Hyperledger are open source technologies that power the development of decentralized applications. This Learning Path is your helpful reference for exploring and building blockchain networks using Ethereum, Hyperledger Fabric, and Hyperledger Composer. Blockchain Development with Hyperledger will start off by giving you an overview of blockchain and demonstrating how you can set up an Ethereum development environment for developing, packaging, building, and testing campaign-decentralized applications. You'll then explore the de facto language Solidity, which you can use to develop decentralized applications in Ethereum. Following this, you'll be able to configure Hyperledger Fabric and use it to build private blockchain networks and applications that connect to them. Toward the later chapters, you'll learn how to design and launch a network, and even implement smart contracts in chain code. By the end of this Learning Path, you'll be able to build and deploy your own decentralized applications by addressing the key pain points encountered in the blockchain life cycle. This Learning Path includes content from the following Packt products: * Blockchain Quick Start Guide by Xun (Brian) Wu and Weimin Sun * Hands-On Blockchain with Hyperledger by Nitin Gaur et al. What you will learn * Understand why decentralized applications are necessary * Develop and test a decentralized application with Hyperledger Fabric and Hyperledger Composer * Write and test a smart contract using Solidity * Design transaction models and chain code with Golang * Deploy the Composer REpresentational State Transfer (REST) Gateway to access Composer transactions * Maintain, monitor, and manage your blockchain solutions Who this book is for This Learning Path is designed for blockchain developers who want to build decentralized applications and smart contracts from scratch using Hyperledger. Basic familiarity with or exposure to any programming language will be useful to get started with this course.

Go beyond the basics and unleash the full power of QGIS 3.4 and 3.6 with practical, step-by-step examples Key Features * One-stop solution to all of your GIS needs * Master QGIS by learning about database integration, and geoprocessing tools * Learn about the new and updated Processing toolbox and perform spatial analysis Book Description QGIS is an open source solution to GIS and widely used by GIS professionals all over the world. It is the leading alternative to proprietary GIS software. Although QGIS is described as intuitive, it is also, by default, complex. Knowing which tools to use and how to apply them is essential to producing valuable deliverables on time. Starting with a refresher on the QGIS basics and getting you acquainted with the latest QGIS 3.6 updates, this book will take you all the way through to teaching you how to create a spatial database and a GeoPackage. Next, you will learn how to style raster and vector data by choosing and managing different colors. The book will then focus on processing raster and vector data. You will be then taught advanced applications, such as creating and editing vector data. Along with that, you will also learn about the newly updated Processing Toolbox, which will help you develop the advanced data visualizations. The book will then explain to you the graphic modeler, how to create QGIS plugins with PyQGIS, and how to integrate Python analysis scripts with QGIS. By the end of the book, you will understand how to work with all aspects of QGIS and will be ready to use it for any type of GIS work. What you will learn * Create and manage a spatial database * Get to know advanced techniques to style GIS data * Prepare both vector and raster data for processing * Add heat maps, live layer effects, and labels to your maps * Master LAStools and GRASS integration with the Processing Toolbox * Edit and repair topological data errors * Automate workflows with batch processing and the QGIS Graphical Modeler * Integrate Python scripting into your data processing workflows * Develop your own QGIS plugins Who this book is for If you are a GIS professional, a consultant, a student, or perhaps a fast learner who wants to go beyond the basics of QGIS, then this book is for you. It will prepare you to realize the full potential of QGIS.

Gain basic skills in network forensics and learn how to apply them effectively Key Features * Investigate network threats with ease * Practice forensics tasks such as intrusion detection, network analysis, and scanning * Learn forensics investigation at the network level Book Description Network forensics is a subset of digital forensics that deals with network attacks and their investigation. In the era of network attacks and malware threat, it’s now more important than ever to have skills to investigate network attacks and vulnerabilities. Hands-On Network Forensics starts with the core concepts within network forensics, including coding, networking, forensics tools, and methodologies for forensic investigations. You’ll then explore the tools used for network forensics, followed by understanding how to apply those tools to a PCAP file and write the accompanying report. In addition to this, you will understand how statistical flow analysis, network enumeration, tunneling and encryption, and malware detection can be used to investigate your network. Towards the end of this book, you will discover how network correlation works and how to bring all the information from different types of network devices together. By the end of this book, you will have gained hands-on experience of performing forensics analysis tasks. What you will learn * Discover and interpret encrypted traffic * Learn about various protocols * Understand the malware language over wire * Gain insights into the most widely used malware * Correlate data collected from attacks * Develop tools and custom scripts for network forensics automation Who this book is for The book targets incident responders, network engineers, analysts, forensic engineers and network administrators who want to extend their knowledge from the surface to the deep levels of understanding the science behind network protocols, critical indicators in an incident and conducting a forensic search over the wire.

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks. Key Features * Train your own models for effective prediction, using high-level Keras API * Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks * Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha Book Description TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks. After giving you an overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering. You will get familiar with unsupervised learning for autoencoder applications. The book will also show you how to train effective neural networks using straightforward examples in a variety of different domains. By the end of the book, you will have been exposed to a large variety of machine learning and neural network TensorFlow techniques. What you will learn * Use tf.Keras for fast prototyping, building, and training deep learning neural network models * Easily convert your TensorFlow 1.12 applications to TensorFlow 2.0-compatible files * Use TensorFlow to tackle traditional supervised and unsupervised machine learning applications * Understand image recognition techniques using TensorFlow * Perform neural style transfer for image hybridization using a neural network * Code a recurrent neural network in TensorFlow to perform text-style generation Who this book is for Data scientists, machine learning developers, and deep learning enthusiasts looking to quickly get started with TensorFlow 2 will find this book useful. Some Python programming experience with version 3.6 or later, along with a familiarity with Jupyter notebooks will be an added advantage. Exposure to machine learning and neural network techniques would also be helpful.

Solve real-world data problems with R and machine learning Key Features * Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.5 and beyond * Harness the power of R to build flexible, effective, and transparent machine learning models * Learn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett Lantz Book Description Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings. This new 3rd edition updates the classic R data science book with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R. What you will learn * Discover the origins of machine learning and how exactly a computer learns by example * Prepare your data for machine learning work with the R programming language * Classify important outcomes using nearest neighbor and Bayesian methods * Predict future events using decision trees, rules, and support vector machines * Forecast numeric data and estimate financial values using regression methods * Model complex processes with artificial neural networks — the basis of deep learning * Avoid bias in machine learning models * Evaluate your models and improve their performance * Connect R to SQL databases and emerging big data technologies such as Spark, H2O, and TensorFlow Who this book is for Data scientists, students, and other practitioners who want a clear, accessible guide to machine learning with R.

Written for young adults, the Urban Underground series confronts issues that are of great importance to teens, such as friendship, loyalty, drugs, gangs, abuse, urban blight, bullies, and self-esteem to name a few. More than entertainment, these books can be a powerful learning and coping tool when a struggling reader connects with credible characters and a compelling storyline. The highly readable style and mature topics will appeal to young adult readers of both sexes and encourage them to finish each eBook. Harriet Tubman HS Series - Denique thought that if she wasn't so messed up in her head, she'd sort of like Trevor. But it would just end badly. So she focused on school. She wanted to graduate and get a job. College was now out of the question. Her family lived in the projects. Denique had to get a job as soon as possible after high school. With her and her mother bringing in money, the family could move to a better, safer place.

In June 1863, General Robert E. Lee and the 75,000-strong Army of Northern Virginia launched a second invasion of the North, crossing into Maryland and Pennsylvania to try to win a decisive victory over Federal forces. On July 1, Lee’s army encountered Major General Meade’s 90,000 strong Army of the Potamac at the small town of Gettysburg. After some initial success in dispersing the Federal advance guard, Lee launched attack after attack against the main army, but everywhere the Union line held. On July 3, Lee ordered a final assault of 12,500 Confederates at the center of the Union line on Cemetery Ridge, known as Pickett’s Charge. The charge was repulsed with huge loss of life, bringing the battle to an end. Today, Gettysburg is recognized as the turning point in the Civil War and one of the iconic battles of the great struggle between North and South. Lee’s gamble didn’t pay off, leaving the Army of Northern Virginia fatally weakened and unable to continue its invasion of the North. Gettysburg is divided into five chapters, outlining the campaign, the fighting on July 1, July 2, and July 3, as well as a chapter dealing with the aftermath; an extended appendices provides biographical background of the main Federal and Confederate leaders who fought in the battle. Through letters, journal entries, and official reports, the book includes numerous first-hand accounts from those who survived. Color maps show the battle as it unfolded over three days of fighting in places that have a place in Civil War legend: Seminary Ridge, Little Round Top, Cemetery Hill, Devil’s Den, the Wheat Field, Culp’s Hill, the Peach Orchard. Including more than 200 archival photographs, illustrations, paintings, and maps, Gettysburg is a colorful, accessible guide to the great battle that marked the turning point in the Civil War.

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras Key Features *Implement machine learning algorithms to build, train, and validate algorithmic models *Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions *Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics Book Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies. This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You’ll practice the ML work?ow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies. Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym. What you will learn *Implement machine learning techniques to solve investment and trading problems *Leverage market, fundamental, and alternative data to research alpha factors *Design and fine-tune supervised, unsupervised, and reinforcement learning models *Optimize portfolio risk and performance using pandas, NumPy, and scikit-learn *Integrate machine learning models into a live trading strategy on Quantopian *Evaluate strategies using reliable backtesting methodologies for time series *Design and evaluate deep neural networks using Keras, PyTorch, and TensorFlow *Work with reinforcement learning for trading strategies in the OpenAI Gym Who this book is for Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques is mandatory.

Here lies entombed the renowned King Arthur in the island of Avalon. – Inscription found at Glastonbury in the late 12th century King Arthur most probably never existed and if he did we know precious little about him, and yet he is one of the most famous Britons, while Excalibur and Camelot are perhaps the world’s best known sword and castle, and Hollywood doesn’t tire of returning to the world of Arthurian romance – another major movie is to be released in 2016. So, what’s the truth behind King Arthur? How did the legends take hold? And why have they endured for so long? Long before the Marvel Universe there was the universe of Arthurian romance and King Arthur and the Knights of the Round Table examines the fact and the fiction behind Arthur, Lancelot, Merlin, Guinevere, Galahad, among others, as well as the quest for the Holy Grail. Beginning in the 12th century, the book explores what factual basis there is for the tales and how the characters, stories and motifs developed through histories, epic poems and prose tellings. The book also charts the revived interest in Arthurian romance in the 19th century and considers how the tales still hold the popular imagination today. Illustrated with more than 180 colour and black-and-white artworks and photographs and maps, King Arthur and the Knights of the Round Table is an expertly written account of where literature, mythology and history meet.

A collection of three enchanting plays adapted from popular fairy tales and suitable for family audiences:?Tin Soldier (adapted from The Steadfast Tin Soldier by Hans Christian Andersen), A Tasty Tale (Hansel and Gretel), Hood in the Wood (Little Red Riding Hood). Acclaimed playwright Noel Greig, has recreated these well-known tales for the stage with wit and imagination. All three plays have been performed throughout the UK by Tangere Arts, winning a? Time Out Critics' Choice Award . Teachers, youth theatres and amateur groups working with young performers will use this collection time and again for productions, drama classes and workshops - whether for one performer or many. Suitable for children aged 7+ The simple form and language of the plays belie their theatrical and psychological sophistication. Tin Soldier ' a powerful poetic drama, an epic fable for our times.' **** ?Independent A Tasty Tale (Hansel and Gretel) ' Delicious moments... fashioned into a rhyming feast.' ****?Time Out Hood in the Wood (Little Red Riding Hood) ' a first-rate piece of storytelling that will make children squeal with terrified delight and parents shiver with recognition. ' **** ?Guardian

Book 1 of the Forest People Series – The Awakening Camryn Painter is a 16-year-old freak of nature. Or possibly the savior of a civilization that isn’t supposed to exist. She’s a human chameleon… one who transforms into the image of whoever sees. Escaping from a medical research facility, Camryn discovers a magical forest world. Not that she’s welcome. Her new home is filled with faeries and beasts set on destroying her. Striking a tribal alliance between what she once believed were mythical beings is her only chance of survival… if she can just control her power and figure out who to trust.

Frank Herbert will forever be known as the “author of Dune,” the science fiction masterpiece that made his career and made his name. But he was an exceptionally diverse author who wrote in numerous genres. Even at the beginning of his writing career, Frank Herbert wrote whatever inspired him, irrespective of genre, market, or audience tastes. After the success of his first novel The Dragon in the Sea (1955), Herbert wrote numerous novels and short stories that failed to find a market. He persevered until finally, seven years later, he wrote the most unpublishable novel of all, Dune—which, once it finally found a home with an obscure publisher, finally made Frank Herbert a household name synonymous with science fiction. This volume collects four of those complete, never-before-published novels written before Dune: High-Opp, a dystopian science fiction novel; Angels’ Fall, a jungle survival adventure; A Game of Authors, a Cold War thriller; and A Thorn in the Bush, a mainstream novel based on some of Herbert’s experiences in Mexico.

Even the author of DUNE—the best-selling science fiction novel of all time—had trouble getting published. At first. Frank Herbert wanted to be a writer, and though today his name is practically synonymous with world-building and epic science fiction, Herbert didn’t start out with a particular genre in mind. He wrote mainstream stories, mysteries, thrillers, mens’ adventure pieces, humorous slice-of-life tales. And, yes, some science fiction. For the first time, this collection presents 13 completed short stories that Frank Herbert never published in his lifetime. These tales show a great breadth of talent and imagination. Readers can now appreciate the writing of one of the field’s masters in a kaleidoscope of new stories.

Explore powerful Azure DevOps solutions to develop and deploy your software faster and more efficiently. Key Features * Build modern microservice-based systems with Azure architecture * Learn to deploy and manage cloud services and virtual machines * Configure clusters with Azure Service Fabric for deployment Book Description This Learning Path helps you understand microservices architecture and leverage various services of Microsoft Azure Service Fabric to build, deploy, and maintain highly scalable enterprise-grade applications. You will learn to select an appropriate Azure backend structure for your solutions and work with its toolkit and managed apps to share your solutions with its service catalog. As you progress through the Learning Path, you will study Azure Cloud Services, Azure-managed Kubernetes, and Azure Container Services deployment techniques. To apply all that you’ve understood, you will build an end-to-end Azure system in scalable, decoupled tiers for an industrial bakery with three business domains. Toward the end of this Learning Path, you will build another scalable architecture using Azure Service Bus topics to send orders between decoupled business domains with scalable worker roles processing these orders. By the end of this Learning Path, you will be comfortable in using development, deployment, and maintenance processes to build robust cloud solutions on Azure. This Learning Path includes content from the following Packt products: * Learn Microsoft Azure by Mohamed Wali * Implementing Azure Solutions - Second Edition by Florian Klaffenbach, Oliver Michalski, Markus Klein * Microservices with Azure by Namit Tanasseri and Rahul Rai What you will learn * Study various Azure Service Fabric application programming models * Create and manage a Kubernetes cluster in Azure Kubernetes Service * Use site-to-site VPN and ExpressRoute connections in your environment * Design an Azure IoT app and learn to operate it in various scenarios * Implement a hybrid Azure design using Azure Stack * Build Azure SQL databases with Code First Migrations * Integrate client applications with Web API and SignalR on Azure * Implement the Azure Active Directory (Azure AD) across the entire system Who this book is for If you are an IT system architect, network admin, or a DevOps engineer who wants to implement Azure solutions for your organization, this Learning Path is for you. Basic knowledge of the Azure Cloud platform will be beneficial.

Get ready for the Windows 10: 70-698 exam and configure Windows to manage data recovery Key Features * Implement Windows 10 operational and administrative tasks * Configure devices, remote management settings, advanced management tools, and device drivers * Comprehensive guide to help you work efficiently in Windows 10 Book Description The Installing and Configuring Windows 10: 70-698 Exam Guide is designed to confirm what you already know, while also updating your knowledge of Windows 10. With its easy-to-follow guidance, you will quickly learn the user interface and discover steps to work efficiently in Windows 10 to rule out delays and obstacles. This book begins by covering various ways of installing Windows 10, followed by instructions on post-installation tasks. You will learn about the deployment of Windows 10 in Enterprise and also see how to configure networking in Windows 10. You’ll understand how to leverage Disk Management and Windows PowerShell to configure disks, volumes, and file system options. As you progress through the chapters, you will be able to set up remote management in Windows 10 and learn more about Windows update usage, behavior, and settings. You will also gain insights that will help you monitor and manage data recovery and explore how to configure authentication, authorization, and advanced management tools in Windows 10. By the end of this book, you will be equipped with enough knowledge to take the 70-698 exam and explore different study methods to improve your chances of passing the exam with ease. What you will learn * Discover various ways of installing Windows 10 * Understand how to configure devices and device drivers * Configure and support IPv4 and IPv6 network settings * Troubleshoot storage and removable device issues * Get to grips with data access and usage * Explore the advanced management tools available in Windows 10 Who this book is for This book is for IT professionals who perform installation, configuration, general local management and maintenance of Windows 10 core services and are preparing to clear the Windows 10: 70-698 exam

Marcus Barber is a two-thousand-year old immortal, a former Roman Centurion who now works as a bounty hunter for supernatural creatures from the ancient world. When he’s not pounding the pavement as a private investigator for mortal clients, Marcus chases down missing mythological creatures for the Ancients. Now, in the heat of San Antonio, Marcus must search for Nemesis's missing Griffin while trying to rescue a melting Ice Pixie from an eccentric collector. His adventures put him on the trail of a cult that has kidnapped a Daughter of Frejya. All in a day’s work. While roaming the sprawling metroplex, Marcus is tasked with obtaining Chaac's lightning axe from the grasp of Tawhaki. Working under a tight deadline from the Ancients (who treat him as a pawn in their games), Marcus enlists a friend's help, but he has to hide the strange events and creatures. On top of the Ancients’ demands, Marcus is also hired by an assistant district attorney who wants him to track down a missing mistress…a woman with whom Marcus has his own turbulent past. By leveraging his stubbornness and his specialized skills, Marcus has to accomplish everything within 24 hours … or else the Ancients will have his immortal soul.

Mike Resnick is, according to Locus , the all-time leading award winner for short fiction, having won 5 Hugos, a Nebula, and other major awards from around the world. This boxed set includes four novels and 41 of his best science fiction short stories Race through pages filled with the Dark Lady, the Moby Dick of space, robot basketball, tall tales, and galaxy-hopping assassins for the ride of your life. This boxed set includes six volumes— First Person Peculiar, Away Games, The Dark Lady, The Soul Eater, The Outpost, and Walpurgis III.

Inspirational Poetry. Touches The Places Words Rarely Reach Poetry: there are times in life when nothing else will do. At such times, you need a certain kind of poem, the kind of poems that are contained in Orna Ross's poetry pamphlet series. The kind of poems that tell the truth about life while providing consolation and inspiration. Here are some of the things that are being said about this short book of inspirational poems: - "Reaches into the corners of your soul and pulls out all that is beautiful." - "Masterfully crafted poetry". - "These poems' many beauties are at the service of elusive truths." - "A little book of very big poems." If you never read poetry, this little pamphlet is a great place to start. Without ever straying into superficiality, Orna Ross's poetry is compelling and accessible. If you are a poetry lover, then you're sure to appreciate these poems about love, poems about life. poems about loss, and faith, and redemption — all delivered in simple, yet achingly beautiful, words. Poetry this powerful and profound is rarely so simple and compelling, which is why inspirational quotes from these poems are turning up all over the Internet, people drawn to their wise and uplifting insights.

Big data processing and analytics at speed and scale using command line tools. Key Features * Perform string processing, numerical computations, and more using CLI tools * Understand the essential components of data science development workflow * Automate data pipeline scripts and visualization with the command line Book Description The Command Line has been in existence on UNIX-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining, Scrubbing, Exploring, Modeling, and iNterpreting data) for carrying out simple-to-advanced data science tasks at speed. This book will start with the requisite concepts and installation steps for carrying out data science tasks using the command line. You will learn to create a data pipeline to solve the problem of working with small-to medium-sized files on a single machine. You will understand the power of the command line, learn how to edit files using a text-based and an. You will not only learn how to automate jobs and scripts, but also learn how to visualize data using the command line. By the end of this book, you will learn how to speed up the process and perform automated tasks using command-line tools. What you will learn * Understand how to set up the command line for data science * Use AWK programming language commands to search quickly in large datasets. * Work with files and APIs using the command line * Share and collect data with CLI tools * Perform visualization with commands and functions * Uncover machine-level programming practices with a modern approach to data science Who this book is for This book is for data scientists and data analysts with little to no knowledge of the command line but has an understanding of data science. Perform everyday data science tasks using the power of command line tools.

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python Key Features * A go-to guide to help you master AI algorithms and concepts * 8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillance * Use TensorFlow, Keras, and other Python libraries to implement smart AI applications Book Description This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python. The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI. By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle. What you will learn * Build an intelligent machine translation system using seq-2-seq neural translation machines * Create AI applications using GAN and deploy smart mobile apps using TensorFlow * Translate videos into text using CNN and RNN * Implement smart AI Chatbots, and integrate and extend them in several domains * Create smart reinforcement, learning-based applications using Q-Learning * Break and generate CAPTCHA using Deep Learning and Adversarial Learning Who this book is for This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is what you need. Knowledge of Python programming and a familiarity with basic machine learning and deep learning concepts are expected to help you get the most out of the book

Perform advanced dashboard, visualization, and analytical techniques with Tableau Desktop, Tableau Prep, and Tableau Server Key Features * Unique problem-solution approach to aid effective business decision-making * Create interactive dashboards and implement powerful business intelligence solutions * Includes best practices on using Tableau with modern cloud analytics services Book Description Tableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. Tableau 2019.x Cookbook is full of useful recipes from industry experts, who will help you master Tableau skills and learn each aspect of Tableau's ecosystem. This book is enriched with features such as Tableau extracts, Tableau advanced calculations, geospatial analysis, and building dashboards. It will guide you with exciting data manipulation, storytelling, advanced filtering, expert visualization, and forecasting techniques using real-world examples. From basic functionalities of Tableau to complex deployment on Linux, you will cover it all. Moreover, you will learn advanced features of Tableau using R, Python, and various APIs. You will learn how to prepare data for analysis using the latest Tableau Prep. In the concluding chapters, you will learn how Tableau fits the modern world of analytics and works with modern data platforms such as Snowflake and Redshift. In addition, you will learn about the best practices of integrating Tableau with ETL using Matillion ETL. By the end of the book, you will be ready to tackle business intelligence challenges using Tableau's features. What you will learn * Understand the basic and advanced skills of Tableau Desktop * Implement best practices of visualization, dashboard, and storytelling * Learn advanced analytics with the use of build in statistics * Deploy the multi-node server on Linux and Windows * Use Tableau with big data sources such as Hadoop, Athena, and Spectrum * Cover Tableau built-in functions for forecasting using R packages * Combine, shape, and clean data for analysis using Tableau Prep * Extend Tableau’s functionalities with REST API and R/Python Who this book is for Tableau 2019.x Cookbook is for data analysts, data engineers, BI developers, and users who are looking for quick solutions to common and not-so-common problems faced while using Tableau products. Put each recipe into practice by bringing the latest offerings of Tableau 2019.x to solve real-world analytics and business intelligence challenges. Some understanding of BI concepts and Tableau is required.