Python Programming: 4 Manuscripts - Artificial Intelligence Python, Reinforcement Learning with Python, Text Analytics with Python, Convol

• 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...

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...

• 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...

• 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...