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

Anthony Williams

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商品描述

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...

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