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Machine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning
- Narrated by: Cliff Weldon
- Length: 2 hrs and 30 mins
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Machine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning
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Summary
Do you want to impress the processes that you are working on? Do you want to make your machines more intelligent? If your answer to any of those questions is yes, then you have come to the right place.
This audiobook is a sequel to the book titled Machine Learning: A Step-by-Step Guide. In the first book, you gathered information on what machine learning is, and the different algorithms that one needs to know. This book is for those who have a basic understanding of what machine learning is.
In this audiobook, you will gather information on:
- Practical examples of machine learning
- How to build a machine learning algorithm in Python
- An introduction to deep learning and neural networks
- How to create a neural network in Python using Keras
And much more....
The audiobook breaks the process of building a machine-learning model in Python into simple steps. These steps will help you build your very own machine-learning model from scratch. You should first build the model using the programs and scripts given in the book before you build your model from scratch. If you want to learn more about what you can do with machine learning, then this is the perfect audiobook for you.
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What listeners say about Machine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning
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Overall5 out of 5 stars
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- Anonymous User
- 12-02-19
Informative book
I'm an R user and so the Python code sections weren't of much interest to me; but those sections are small. Most of the book deals with description of machine learning techniques rather than examples.
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Overall5 out of 5 stars
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Performance4 out of 5 stars
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Story5 out of 5 stars
- Anonymous User
- 11-02-19
Ideal book for learning theory of machine learnin
Ideal book for learning theory of machine learning, in order to get a deeper understanding of practical algorithms.
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Overall5 out of 5 stars
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Story5 out of 5 stars
- keerthy
- 16-02-19
Thanks for the author
I hope that's the perfect guidebook for all. Well written via writer. If your interest takes it and follows up. Thankful for Author.
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