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Reinforcement Learning with Python: A Short Overview of Reinforcement Learning with Python Audiobook by Anthony Williams
Please open https://hotaudiobook.com ONLY on your standard browser Safari, Chrome, Microsoft or Firefox to download full audiobooks of your choice for free.
Title: Reinforcement Learning with Python: A Short Overview of Reinforcement Learning with Python
Author: Anthony Williams
Narrator: William Bahl
Format: Unabridged
Length: 2 hrs and 32 mins
Language: English
Release date: 10-17-17
Publisher: Anthony Williams
Ratings: 4.5 of 5 out of 17 votes
Genres: Science & Technology, Technology
Publisher's Summary:
Reinforcement Learning with Python
Reinforcement learning is one of those data science fields which will most certainly shape the world. The changes are already visible since we have self-driving cars, robots and much more we used to see only in some futuristic movies. Reinforcement learning is a widely used machine learning technique, a computational approach when it comes to the different software agents which are trying to maximize the total amount of possible rewards they receive while interacting with some uncertain as well as very complex environments.
This book is divided into seven chapters in which you will get to reinforcement techniques and methodology better. The first chapters will introduce you to the main concept laying being reinforcement learning techniques. Further, you will see what the difference between reinforcement learning and other machine learning techniques is. The book also provides some of the basic solution methods when it comes to the Markov decision processes, dynamic programming, Monte Carlo methods and temporal difference learning.
What you will learn in this book:
Listen to this book now and learn more about reinforcement learning with Python!
Members Reviews:
Code samples and audiobooks - worst idea ever
nobody wants to listen to def env: a = {[0 .. 1] ..... read aloud
My friend gave me this wonderful Audible book...
Well written and really informative book. This book is written with both the beginners and the expert programmers with various techniques explained in detail volume by volume...
Reinforcement Learning with Python
Awesome Book..
I liked the way of writing..
the narration was awesome i loved it...
The topics were great
Essentials of reinforcement learning process
Marko decision processes and basic parameters
How to integrate reinforcement learning algorithm using OpenAI Gym
HIGHLY SUGGEST IT....
Nice book
The book is clear, concise, and relatively comprehensive. Worth my time and money. The examples are very interesting with clear discussions. The author and translator have done great job in making complicated topic approachable.
Just what I was looking for!
It is a very good book easy to listen and follow but I found that is necessary to all who in need of this topic.
View all episodes
By DOWNLOAD FULL AUDIOBOOKS FOR FREE ON HOTAUDIOBOOK.COMPlease open https://hotaudiobook.com ONLY on your standard browser Safari, Chrome, Microsoft or Firefox to download full audiobooks of your choice for free.
Title: Reinforcement Learning with Python: A Short Overview of Reinforcement Learning with Python
Author: Anthony Williams
Narrator: William Bahl
Format: Unabridged
Length: 2 hrs and 32 mins
Language: English
Release date: 10-17-17
Publisher: Anthony Williams
Ratings: 4.5 of 5 out of 17 votes
Genres: Science & Technology, Technology
Publisher's Summary:
Reinforcement Learning with Python
Reinforcement learning is one of those data science fields which will most certainly shape the world. The changes are already visible since we have self-driving cars, robots and much more we used to see only in some futuristic movies. Reinforcement learning is a widely used machine learning technique, a computational approach when it comes to the different software agents which are trying to maximize the total amount of possible rewards they receive while interacting with some uncertain as well as very complex environments.
This book is divided into seven chapters in which you will get to reinforcement techniques and methodology better. The first chapters will introduce you to the main concept laying being reinforcement learning techniques. Further, you will see what the difference between reinforcement learning and other machine learning techniques is. The book also provides some of the basic solution methods when it comes to the Markov decision processes, dynamic programming, Monte Carlo methods and temporal difference learning.
What you will learn in this book:
Listen to this book now and learn more about reinforcement learning with Python!
Members Reviews:
Code samples and audiobooks - worst idea ever
nobody wants to listen to def env: a = {[0 .. 1] ..... read aloud
My friend gave me this wonderful Audible book...
Well written and really informative book. This book is written with both the beginners and the expert programmers with various techniques explained in detail volume by volume...
Reinforcement Learning with Python
Awesome Book..
I liked the way of writing..
the narration was awesome i loved it...
The topics were great
Essentials of reinforcement learning process
Marko decision processes and basic parameters
How to integrate reinforcement learning algorithm using OpenAI Gym
HIGHLY SUGGEST IT....
Nice book
The book is clear, concise, and relatively comprehensive. Worth my time and money. The examples are very interesting with clear discussions. The author and translator have done great job in making complicated topic approachable.
Just what I was looking for!
It is a very good book easy to listen and follow but I found that is necessary to all who in need of this topic.