“…You'll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. …”

Tabla de Contenidos: “…Estimating probabilities from an ensemble -- Sequences of models - AdaBoost -- Gradient tree boosting (GTB) -- XGBoost -- LightGBM -- CatBoost -- Dealing with big data -- Creating some big datasets as examples -- Scalability with volume -- Keeping up with velocity -- Dealing with variety -- An overview of Stochastic Gradient Descent (SGD) -- A peek into natural language processing (NLP) -- Word tokenization -- Stemming -- Word tagging -- Named entity recognition (NER) -- Stopwords -- A complete data science example - text classification -- An overview of unsupervised learning -- K-means -- DBSCAN - a density-based clustering technique -- Latent Dirichlet Allocation (LDA) -- Summary -- Chapter 5: Visualization, Insights, and Results -- Introducing the basics of matplotlib -- Trying curve plotting -- Using panels for clearer representations -- Plotting scatterplots for relationships in data -- Histograms -- Bar graphs -- Image visualization -- Selected graphical examples with pandas -- Working with boxplots and histograms -- Plotting scatterplots -- Discovering patterns by parallel coordinates -- Wrapping up matplotlib's commands -- Introducing Seaborn -- Enhancing your EDA capabilities -- Advanced data learning representation -- Learning curves -- Validation curves -- Feature importance for RandomForests -- Gradient Boosting Trees partial dependence plotting -- Creating a prediction server with machine-learning-as-a-service -- Summary -- Chapter 6: Social Network Analysis -- Introduction to graph theory -- Graph algorithms -- Types of node centrality -- Partitioning a network -- Graph loading, dumping, and sampling -- Summary -- Chapter 7: Deep Learning Beyond the Basics -- Approaching deep learning -- Classifying images with CNN -- Using pre-trained models -- Working with temporal sequences -- Summary -- Chapter 8: Spark for Big Data…”

“…This book has been written and tested for Angular release 4. Angular is a mature technology, and you'll likely have applications built with earlier versions. …”

“…Combine advanced analytics including Machine Learning, Deep Learning Neural Networks and Natural Language Processing with modern scalable technologies including Apache Spark to derive actionable insights from Big Data in real-time Key Features Make a hands-on start in the fields of Big Data, Distributed Technologies and Machine Learning Learn how to design, develop and interpret the results of common Machine Learning algorithms Uncover hidden patterns in your data in order to derive real actionable insights and business value Book Description Every person and every organization in the world manages data, whether they realize it or not. …”

“…As you make your way through the book, you'll build projects in various real-world domains, incorporating natural language processing (NLP), the Gaussian process, autoencoders, recommender systems, and Bayesian neural networks, along with trending areas such as Generative Adversarial Networks (GANs), capsule networks, and reinforcement learning. …”

“…Engineer naturally lean web pages and leverage the latest web platform features to dramatically boost page speed About This Book The first book for web developers that shows how to put AMP to work Improve your website's mobile experience and get more traffic Practical methods to achieve a step change in performance quickly and easily Who This Book Is For This book is for experienced web developers who are aware of the impact of slow-loading web pages on conversion rates and user engagement, and who are seeking to serve content to their end users in a rich and enticing way using the Accelerated Mobile Pages framework. …”

“…What you will learn Develop a joke recommendation engine to show jokes that match users’ tastes Build autoencoders for credit card fraud detection Work with image recognition and convolutional neural networks Make predictions for casino slot machines using reinforcement learning Implement natural language processing (NLP) techniques for sentiment analysis and customer segmentation Produce simple and effective data visualizations for improved insights Use NLP to extract insights for text Implement tree-based classifiers including random forest and boosted tree Who this book is for If you're a data analyst, data scientist, or machine learning developer who wants to master machine learning techniques using R, this is an ideal Learning Path for you. …”

“…What you will learn Implement credit card fraud detection with autoencoders Train neural networks to perform handwritten digit recognition using MXNet Reconstruct images using variational autoencoders Explore the applications of autoencoder neural networks in clustering and dimensionality reduction Create natural language processing (NLP) models using Keras and TensorFlow in R Prevent models from overfitting the data to improve generalizability Build shallow neural network prediction models Who this book is for This Learning Path is for aspiring data scientists, data analysts, machine learning developers, and deep learning enthusiasts who are well versed in machine learning concepts and are looking to explore the deep learning paradigm using R. …”

“…You'll implement ML techniques in areas such as exploratory data analysis, feature engineering, and natural language processing (NLP) in a clear and easy-to-follow way. …”

“…It is simple to use and intuitive in nature, making it suitable for programmers and non-programmers alike. …”

“…Explore the self-correcting nature of exponential smoothing, discover how to use autoregression to create effective forecasts, and get comfortable using Excel's powerful Data Analysis and Solver add-ins. …”

“…It’s simple to get that harsh deer-in-the-headlights look from built-in automatic flash, but it is a far cry from beautiful light. Creating natural-looking images is not nearly as straightforward. …”

“…Build Android 6 Material Design Apps That Are Stunningly Attractive, Functional, and Intuitive As Android development has matured and grown increasingly competitive, developers have recognized the crucial importance of good design. …”

“…Create and manage unique Minecraft 1.9 configurations with their own versions, worlds, resource packs, and profiles Automatically mass-produce sugar cane, melons, wheat, and more Supercharge mining operations to excavate infinite amounts of obsidian Take control of the mayhem with mob farms: mass-produce your own zombies, spiders, creepers, and skeletons Craft amazing armor, weapons, and tools Build in any style that inspires you: medieval, Victorian, Viking, Japanese, modern, suburban, you name it Create natural-looking terrain and trees, decorate with 2D pixel art, and build 3D statues Construct smarter, more efficient power and transportation systems Assemble amazing redstone circuitry with Monostable and Redpower 2 Generate massive resources with gigantic oil refineries and quarries Create and share exciting adventure maps and learn the secrets of CommandBlocks Export your greatest adventures to YouTube, Vimeo, or HD video Stephen O’Brien is author of the mega-bestselling The Ultimate Player’s Guide to Minecraft as well as many other books. …”

“…Push the envelope of data science by exploring emerging topics such as data management, machine learning, natural language processing, crowdsourcing, and algorithm design with this O’Reilly video collection—taken from the Hardcore Data Science sessions at Strata + Hadoop World 2014 in New York. …”

“…ICT outages, cyber attacks, natural disasters, terrorist attacks, pandemics, supply chain failures and other unexpected events can all affect productivity and in many cases place a company’s survival in serious jeopardy. …”

“…Deconstruct the browser into a rendering engine (for HTML and CSS) and a scripting engine (for JavaScript) Learn what it means to run a "headless" JavaScript engine Gain a working knowledge of CommonJS modules, packages, and NPM Explore the modular, asynchronous, and event-driven nature of server-side JavaScript development Incorporate a web server into your application—rather than deploy applications to an external web server Understand the strengths and weaknesses of relational databases and NoSQL Learn the four characteristics of building a single-page application with AngularJS Scott Davis is the founder of ThirstyHead.com, a training and consulting company that that specializes in leading-edge technology solutions such as HTML5, mobile development, SmartTV development, NoSQL, Groovy, and Grails. …”

“…Jane LeClair Chief Operating Officer National Cybersecurity Institute, Washington, D.C. Human nature – easy prey for hackers? Human behaviour is complex and inconsistent, making it a rich hunting ground for would-be hackers and a significant risk to the security of your organization . …”

“…-Jay Baer, founder of Convince & Convert and author of Hug Your Haters Once upon a time, storytelling was confused with talking at people. …”

“…What You Will Learn Create a persistent object model to move data in and out of your database Build the database from your model automatically Configure NHibernate for use with WebForms, MVC, WPF, and WinForms applications Create database queries using a variety of methods Improve the performance of your applications using a variety of techniques Build an infrastructure for fast, easy, test-driven development of your data access layer Implement entity validation, auditing, full-text search, horizontal partitioning (sharding), and spatial queries using NHibernate Contrib projects In Detail NHibernate is a mature, flexible, scalable, and feature-complete open source project for data access. …”