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Free eBooks on Artificial Intelligence and Machine Learning

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Article originally posted on Data Science Central. Visit Data Science Central

Artificial Intelligence with Python

By Prateek joshi

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you

What you will learn:

  • Realize different classification and regression techniques
  • Understand the concept of clustering and how to use it to automatically segment data
  • See how to build an intelligent recommender system
  • Understand logic programming and how to use it
  • Build automatic speech recognition systems
  • Understand the basics of heuristic search and genetic programming
  • Develop games using Artificial Intelligence
  • Learn how reinforcement learning works
  • Discover how to build intelligent applications centered on images, text, and time series data
  • See how to use deep learning algorithms and build applications based on it

Click here to get the free eBook.

Python Machine Learning

By Sebastian Raschka

Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial

What you will learn:

  • Find out how different machine learning can be used to ask different data analysis questions
  • Learn how to build neural networks using Python libraries and tools such as Keras and Theano
  • Write clean and elegant Python code to optimize the strength of your machine learning algorithms
  • Discover how to embed your machine learning model in a web application for increased accessibility
  • Predict continuous target outcomes using regression analysis
  • Uncover hidden patterns and structures in data with clustering
  • Organize data using effective pre-processing techniques
  • Learn sentiment analysis to delve deeper into textual and social media data

Click here to get the free eBook.

Practical Machine Learning Cookbook

By Atul Tripathi

Building Machine Learning applications with R

What you will learn:

  • Get equipped with a deeper understanding of how to apply machine-learning techniques
  • Implement each of the advanced machine-learning techniques
  • Solve real-life problems that are encountered in order to make your applications produce improved results
  • Gain hands-on experience in problem solving for your machine-learning systems
  • Understand the methods of collecting data, preparing data for usage, training the model, evaluating the model’s performance, and improving the model’s performance

Click here to get the free eBook.

Practical Game AI Programming

By Micael DaGraca

Jump into the world of Game AI development

What you will learn:

  • Get to know the basics of how to create different AI for different type of games
  • Know what to do when something interferes with the AI choices and how the AI should behave if that happens
  • Plan the interaction between the AI character and the environment using Smart Zones or Triggering Events
  • Use animations correctly, blending one animation into another and rather than stopping one animation and starting another
  • Calculate the best options for the AI to move using Pruning Strategies, Wall Distances, Map Preprocess Implementation, and Forced Neighbours
  • Create Theta algorithms to the AI to find short and realistic looking paths
  • Add many characters into the same scene and make them behave like a realistic crowd

Click here to get the free eBook.

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