English | 14 Oct. 2017 | ISBN: 1978317115 | ASIN: B076GKHVQ1 | 379 Pages | AZW3 | 0.7MB
Python Programming - 4 BOOK BUNDLE!!

Book 1: Artificial Intelligence with Python

What you will learn in this book:

Different artificial intelligence approaches and goals

How to define AI system

Basic AI techniques

Reinforcement learning

How to build a recommender system

Genetic and logic programming

And much, much more…

Book 2: Reinforcement Learning with Python

What you will learn by reading this book:

Types of fundamental machine learning algorithms in comparison to reinforcement learning

Essentials of reinforcement learning process

Marko decision processes and basic parameters

How to integrate reinforcement learning algorithm using OpenAI Gym

How to integrate Monte Carlo methods for prediction
Monte Carlo tree search

Dynamic programming in Python for policy evaluation, policy iteration and value iteration

Temporal difference learning or TD

And much, much more…

Book 3: Reinforcement Learning with Python

What you will learn by reading this book:

Types of fundamental machine learning algorithms in comparison to reinforcement learning

Essentials of reinforcement learning process

Marko decision processes and basic parameters

How to integrate reinforcement learning algorithm using OpenAI Gym

How to integrate Monte Carlo methods for prediction

Monte Carlo tree search

Dynamic programming in Python for policy evaluation, policy iteration and value iteration

Temporal difference learning or TD

And much, much more…

Book 4: Text Analytics with Python

What you will learn by reading this book:

Text analytics process

How to build a corpus and analyze sentiment

Named entity extraction with Groningen meaning bank corpus

How to train your system

Getting started with NLTK

How to search syntax and tokenize sentences

Automatic text summarization

Stemming word and topic modeling with NLTK

Using scikit-learn for text classification

Part of speech tagging and POS tagging models in NLTK

And much, much more…