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Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python...

Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

  • Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
  • Combine the power of Python, Keras, and TensorFlow to...
Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data
Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data

Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.

Key Features

  • Get up and running with the Jupyter ecosystem and some example datasets
  • ...
Test-Driven Java Development - Second Edition: Invoke TDD principles for end-to-end application development
Test-Driven Java Development - Second Edition: Invoke TDD principles for end-to-end application development

This book will teach the concepts of test driven development in Java so you can build clean, maintainable and robust code

Key Features

  • Explore the most popular TDD tools and frameworks and become more proficient in building applications
  • Create applications with better code...
ASP.NET Core 2 Fundamentals: Build cross-platform apps and dynamic web services with this server-side web application framework
ASP.NET Core 2 Fundamentals: Build cross-platform apps and dynamic web services with this server-side web application framework

Imagine the boost in business if you can build large, rich web applications with little code and built-in Windows authentication. With this book, you can gain skills to develop real-world applications with ASP.NET Core 2.

Key Features

  • Adopts the application-centric approach to explain core...
Beginning API Development with Node.js: Build highly scalable, developer-friendly APIs for the modern web with JavaScript and Node.js
Beginning API Development with Node.js: Build highly scalable, developer-friendly APIs for the modern web with JavaScript and Node.js

Learn everything you need to get up and running with cutting-edge API development using JavaScript and Node.js; ideal for data-intensive real-time applications that run across multiple platforms.

Key Features

  • Build web APIs from start to finish using JavaScript across the development...
Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition
Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition

Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.

Key Features

  • Learn the fundamentals of Python programming with interactive projects
  • Apply Python to data...
Hands-On Enterprise Automation with Python.: Automate common administrative and security tasks with Python
Hands-On Enterprise Automation with Python.: Automate common administrative and security tasks with Python

Invent your own Python scripts to automate your infrastructure

Key Features

  • Make the most of Python libraries and modules to automate your infrastructure
  • Leverage Python programming to automate server configurations and administration tasks
  • Efficiently...
Reactive Streams in Java: Concurrency with RxJava, Reactor, and Akka Streams
Reactive Streams in Java: Concurrency with RxJava, Reactor, and Akka Streams

Get an easy introduction to reactive streams in Java to handle concurrency, data streams, and the propagation of change in today's applications. This compact book includes in-depth introductions to RxJava, Akka Streams, and Reactor, and integrates the latest related features from Java 9 and 11, as well as reactive streams...

Understanding Game Application Development: With Xamarin.Forms and ASP.NET
Understanding Game Application Development: With Xamarin.Forms and ASP.NET
Learn to build a simple data-driven mobile game application using the power of Xamarin.Forms, ASP.NET, the Web API, and SignalR with this short book. In it you will build a cross-platform mobile application that targets both iOS and Android, connect your app with your database using Entity Framework, and implement real-time...
Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras
Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.

Key Features

  • Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and...
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python

One stop guide to implementing award-winning, and cutting-edge CNN architectures

Key Features

  • Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques
  • Implement CNN models on image classification, transfer learning, Object Detection,...
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