Python Programming: 4 Manuscripts – Artificial Intelligence Python, Reinforcement Learning with Python, Text Analytics with Python, Convolutional Neural Networks in Python by Anthony Williams
English | 14 Oct. 2017 | ISBN: 1978317115 | ASIN: B076GKHVQ1 | 379 Pages | AZW3 | 784 KB
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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