Free eBooks on Artificial Intelligence and Machine Learning

Free eBooks on Artificial Intelligence and Machine Learning

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

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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

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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

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Link: Free eBooks on Artificial Intelligence and Machine Learning