Python Programming: 4 Manuscripts - Artificial Intelligence Python, Reinforcement Learning With Python, Text Analytics With Python, Convolutional Neural Networks In Python

Python Programming: 4 Manuscripts - Artificial Intelligence Python, Reinforcement Learning With Python, Text Analytics With Python, Convolutional Neural Networks In Python
by Anthony Williams / / / Kindle


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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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