• Python Programming: 4 Manuscripts ? Artificial Intelligence Python, Reinforcement Learning with Python, Text Analytics with Python, Convolutional Neural Networks in Python

  • By: Anthony Williams
  • Narrated by: William Bahl
  • Length: 10 hrs and 17 mins
  • Unabridged Audiobook
  • Categories: Computers & Technology
  • 4.7 out of 5 stars (64 ratings)
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Publisher's Summary

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
  • 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
  • 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
  • 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
  • And much, much more...
Listen to this book bundle NOW and SAVE money!
©2017 Anthony Williams (P)2017 Anthony Williams

What listeners say about Python Programming: 4 Manuscripts ? Artificial Intelligence Python, Reinforcement Learning with Python, Text Analytics with Python, Convolutional Neural Networks in Python

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Reason to the madness.

OK, I have taken a few Audible classes and I have to admit this is the absolute best one with 4 Manuscripts. In addition to the teacher giving a rich background to the subject at hand. He also drills to the bottom of different artificial intelligence approaches and goals also explains how to integrate reinforcement learning algorithm using OpenAI Gym.

1. The teacher really knows his stuff.
2. He is not afraid to named entity extraction with Groningen meaning bank corpus.
3. There is both breadth and depth to this class that was unexpected.
4. Only for £24.95 and lengthed in 10 hours and 17 minutes

Bravo and thank you!

24 people found this helpful

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Bridge the gap

[1/3rd through the course] - So far, the explanations are too good as I would have never expected. In the previous RL course, the explanations seemed okay, and I never understood far more in a longer period of time. I am looking forward to getting to the DQN part of the course though, which is what really interests me.
[Update - 90% through the course] - I have reached and completed the DQN part of the course, and I can say that now I understand all the concepts very well. I have increased the rating form 4 to 5 stars. I also have to appreciate the responses that I got from Anthony, who gave me some really good advice. I am currently using what he has thought me in my research and the results that i am getting are very good. I can't wait to try out some of the other courses.

24 people found this helpful

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Python In-depth

This lecture is a second series of Reinforcement Learning (RL) courses. In particular, it focuses on advanced topic of RL.
Although this lecture helped me to better understand RL, the lecture title "4 Manuscripts ? Artificial Intelligence Python, Reinforcement Learning with Python, Text Analytics with Python, Convolutional Neural Networks in Python" confused me.
The term "AI" indicates RL itself and emphasize focus of this lecture. The term "Deep" indicates just use of Deep Learning (DL) libraries such as Tensorflow to easily calculate the differentiation. Moreover, this lecture does focus on very-deep, complicated, and sophisticated neural networks.

23 people found this helpful

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Every thing in one place.

A great match if you want to learn some advanced reinforcement learning, text analytics, and convolutional neural networks topics. The content is just right to get a good understanding of the intuition and practice.

22 people found this helpful

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Very interesting topics.

It has been very difficult to try the exercises on my own. Unsuccessful experience in a lot of cases. However, the carefully study of solutions clarifies the issues, although it takes quite time, much more than watching and understanding the videos from the other sources.
Summarizing: hard but worthwhile.

21 people found this helpful

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Python is very good for me!

I've followed this Python learning series since the first course. This third part is so beautiful. Love the way you explain the math very clearly and carefully. Please do more, about TPRO or PPO,... Looking forward for more of your PY course. Thank you !

21 people found this helpful

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Great bang for buck!

This was a good match for me. The lectures confirmed that it is difficult to find in books a complete and consistent treatment for specific A2C problems, which are complete in that they include both the theory (equations) and the code. Often you get one or the other and it is sometimes easy to spot errors in the code, which makes you wonder if you should trust the source.

21 people found this helpful

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Pleased.

it will be nice to see in top course something more complex - HRL or i2a. Something that show RL's evolution progress not only on base level but in context of real tasks.

20 people found this helpful

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Python In Fluency..

The course outline is really great!

It makes you understand what you don't know, and need to know to understand Reinforcement Learning.

As the topic is quite wide (meaning you need to learn a lot of things before understanding), this is quite helpful in wrapping my head around the topic.

19 people found this helpful

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Classroom In a Book

Well organized audio book which goes into some exciting applications of deep learning. Anthony & William does a great job at making the technical subject matter more approachable than other teachers.

19 people found this helpful

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  • Dennis
  • 07-04-20

Programmed learning at its finest!

This course will teach you what you need to know provided you are willing to put in the effort.

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  • Hall
  • 06-29-20

Intermedia Python, Excellent

It was a really good experience, learning from this course. Complex Topics were explained in a very simple manner. Loved it ! Thank you so much. Also such postive guidance!

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  • william
  • 10-27-18

amazing book


Amazing book! Will take you to the next level in your Python coding skills. Distills the essentials down into easy-to-read and easy-to-learn chunks. If you want to get better at Python, this book should be in your library!

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  • zoe
  • 10-27-18

QUICK LISTEN

I really like the book "Fluent Python" as well, but this one has more simple and practical suggestions and was a very quick read.

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    4 out of 5 stars
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  • sofia
  • 10-27-18

comprehensive

If you are looking to do to the next level without becoming a complete expert, this book may be for you.

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    5 out of 5 stars
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  • Anonymous User
  • 10-27-18

this for you

If you are programming in Python, doing a lot of cut and paste and not fully understand what you are doing, this book may be for you

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  • Anonymous User
  • 10-27-18

outstanding



One outstanding feature of the book is a short recap after each section, giving simple rules of thumb to to follow. This cleared up a lot of uncertainty for me about some python best practices.

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  • logan
  • 10-27-18

awesome


I really appreciated how approachable this book made Python. I'd recommend it to anyone interested in learning Python, no matter how much experience with programming they have.