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

Narrated by: William Bahl
Length: 10 hrs and 17 mins
Categories: Non-fiction, Philosophy
5 out of 5 stars (38 ratings)

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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

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    5 out of 5 stars

A Treatise on Python

A good course to continue your education in reinforcement learning. After learning a bit about reinforcement learning and artificial neural networks I wanted to see how deep learning can be applied to RL.
Each section has some code exercise, it may be hard and take days to figure out but you will feel rewarded if you don't give up. Sometimes you need to listen the lecture again to gain some points you missed. There's a lot of details it is easy to forget.
With this course and lectures you can understand everything about deep reinforcement learning.

21 people found this helpful

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THE python book

Far worth more than the price paid for this knowledge. Took me few days to complete because I work but I love how robust and detailed it is. I've, never coded all my life but few days into this course I was able to understand what a senior developer (with over 4 years experience) was explaining about a code he was working on and that was awesome!
Bahl is an excellent teacher, love how he narrated the course.
I got a little weary when he spent a lot of time on a module or on a program like Marko decision processes and basic parameters also getting started with NLTK. Even though he explained all through, I was more interested in learning python concepts and logic with some real world application. Spending a lot of time on a module or program made me feel like it was a job not a lecture :).
You still get my five stars anyway because the issue in the previous paragraph is a personal one, other students might have had no problem with that.
I'm following you on amazon and I cant wait o check out your other courses on audible.

20 people found this helpful

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A useful companion to have at your side.

Great experience from start to finish. It taught me the basics of how to define AI system, then how to create deep learning networks to beat the environments.

20 people found this helpful

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Incredibly detailed, thorough

This course is suitable for those who have time to commit to learning these concepts in detail. Lots of knowledge gained in short time. Plenty of coding samples to learn from.

19 people found this helpful

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This book definitely worth your time

Well organized course, going through each algorithm one by one starting with a review. The structure makes things easy to comprehend and it's easy to pause the podcast one day and continue the next day. I get excited about the new theory and programming tools for myself.

19 people found this helpful

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Reason to the madness.

OK, I have taken a few online classes and I have to admit this is the absolute best one. In addition to the teacher giving a rich background to the subject at hand. He also drills to the bottom of named entity extraction with groningen meaning bank corpus and explains what is happening behind the scenes.
1. The teacher *really* knows his stuff.
2. He is not afraid to uses different artificial intelligence approaches and goals.
3. There is both breadth and depth to this class that was unexpected.
Bravo and thank you!

19 people found this helpful

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Best edition yet.

At first pass the ideas seemed really difficult. But, after some more reading and thinking I felt they are not that fancy!
So, sticking to it is the key. Give yourself little more time with the ideas.

19 people found this helpful

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Deep digging in the usabillity.

This particular Python class is a "must have". It is, by far, the best Python course in which I have enrolled. It has tremendously increased my programming background. The instructor, through his lectures, wonderfully showcases the power, the simplicity, the elegance of this curious language to the curious mind. The lectures were clear, well-crafted, well-focused, and deeply engaging. Anthony W is an "A grade" Python instructor. He knows his stuff and delivers confidently the "Python good". It is perfectly redundant to say that I highly recommend this course to anyone eager to learn Python in a very serious and meaningful way.

19 people found this helpful

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Great Book...the bible of Python.

The course was excellent with a good quality of explanation in each section. All the topics are explained easily and effortlessly. I would recommend this course to any student who wants to learn deep reinforcement learning.

18 people found this helpful

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Perfect for self-learners of Python

It was an amazing audiobook. The pace was right, the instructions were clear, and the topics were very interesting. I definitely didn't know what I was doing all the time, but I found the course to be just technical enough for me.

17 people found this helpful

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  • Kevin
  • 30-11-19

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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  • James Moody
  • 30-11-19

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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  • Daniel Askew
  • 30-11-19

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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  • Eva
  • 30-11-19

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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  • Kent Berg
  • 30-11-19

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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  • Deneen Daly
  • 30-11-19

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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  • Scott
  • 30-11-19

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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  • Clifford
  • 30-11-19

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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  • Matthew Nelson
  • 01-12-19

Good Tutorial; you'll learn a lot.

This course is mandatory for those who want to learn deep reinforcement learning and apply to cool applications such as video games

17 people found this helpful

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  • Sara Page
  • 01-12-19

Education from this book is priceless

Goes fast pace, but it's worth listening. The course design is good, you got the views, then some gym basics, then some deep learning algorithms. It flows together well.
I see myself using what I learned to extend my own projects.

17 people found this helpful