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Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python
Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python

With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web

Key Features

  • Build industry-standard recommender systems
    • ...
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

Be an adaptive thinker that leads the way to Artificial Intelligence

Key Features

  • AI-based examples to guide you in designing and implementing machine intelligence
  • Develop your own method for future AI solutions
  • Acquire advanced AI, machine learning, and...
Rust Programming By Example: Enter the world of Rust by building engaging, concurrent, reactive, and robust applications
Rust Programming By Example: Enter the world of Rust by building engaging, concurrent, reactive, and robust applications

Discover the world of Rust programming through real-world examples

Key Features

  • Implement various features of Rust to build blazingly fast applications
  • Learn to build GUI applications using Gtk-rs
  • Explore the multi-threading aspect of Rust to tackle...
Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle

Key Features

  • Create and share interactive documents with live code, text and visualizations
  • Integrate popular programming languages such as Python, R, Julia, Scala...
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition

Leverage the power of Java and its associated machine learning libraries to build powerful predictive models

Key Features

  • Solve predictive modeling problems using the most popular machine learning Java libraries
  • Explore data processing, machine learning, and NLP concepts...
Developing 2D Games with Unity: Independent Game Programming with C#
Developing 2D Games with Unity: Independent Game Programming with C#

Follow a walkthrough of the Unity Engine and learn important 2D-centric lessons in scripting, working with image assets, animations, cameras, collision detection, and state management. In addition to the fundamentals, you'll learn best practices, helpful game-architectural patterns, and how to customize Unity to suit your needs,...

Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.

Key Features

  • Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j
    • ...
Google Cloud Platform for Architects: Design and manage powerful cloud solutions
Google Cloud Platform for Architects: Design and manage powerful cloud solutions

Get started with GCP and manage robust, highly available, and dynamic solutions to drive business objectives

Key Features

  • Identify the strengths, weaknesses and ideal use cases for individual services offered on the Google Cloud Platform (GCP)
  • Make intelligent choices...
Google Cloud Platform for Developers: Build highly scalable cloud solutions with the power of Google Cloud Platform
Google Cloud Platform for Developers: Build highly scalable cloud solutions with the power of Google Cloud Platform

Develop, deploy, and scale your applications with Google Cloud Platform

Key Features

  • Create and deploy your applications on Google Cloud Platform
  • Store and manage source code and debug Cloud-hosted apps with plugins and IDEs
  • Streamline developer workflows...
Blender Quick Start Guide: 3D Modeling, Animation, and Render with Eevee in Blender 2.8
Blender Quick Start Guide: 3D Modeling, Animation, and Render with Eevee in Blender 2.8

Explore the new Blender 2.8 user interface and get up to speed with creating 3D models

Key Features

  • Discover Blender 2.8’s new user interface and tools
  • Create materials, apply textures and render scenes
  • Use the new cutting-edge real-time render Eevee...
Expert Twisted: Event-Driven and Asynchronous Programming with Python
Expert Twisted: Event-Driven and Asynchronous Programming with Python
Explore Twisted, the Python-based event-driven networking engine, and review several of its most popular application projects. It is written by community leaders who have contributed to many of the projects covered, and share their hard-won insights and experience.

Expert Twisted starts with an introduction...
Distributed Computing with Go: Practical concurrency and parallelism for Go applications
Distributed Computing with Go: Practical concurrency and parallelism for Go applications

A tutorial leading the aspiring Go developer to full mastery of Golang's distributed features.

Key Features

  • This book provides enough concurrency theory to give you a contextual understanding of Go concurrency
  • It gives weight to synchronous and asynchronous data...
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