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Python Machine Learning From Scratch: Step-by-Step Guide with Scikit-Learn and TensorFlow

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This book would seek to explain common terms and algorithms in an intuitive way. The author used a progressive approach whereby we start out slowly and improve on the complexity of our solutions.



Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.
To get the most out of the concepts that would be covered, readers are advised to adopt a hands on approach which would lead to better mental representations.



This book and the accompanying examples, you would be well suited to tackle problems which pique your interests using machine learning.
Instead of tough math formulas, this book contains several graphs and images which detail all important Machine Learning concepts and their applications.


The book designed for a variety of target audiences. The most suitable users would







Is this book for me and do I need programming experience?
If you want to smash Machine Learning from scratch, this book is for you. If you already wrote a few lines of code and recognize basic programming statements, you’ll be OK.

Does this book include everything I need to become a Machine Learning expert?
Unfortunately, no. This book is designed for readers taking their first steps in Machine Learning and further learning will be required beyond this book to master all aspects of Machine Learning.

Can I have a refund if this book doesn’t fit for me?
Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email at contact@aisciences.net.
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103 pages, Kindle Edition

Published July 23, 2018

3 people are currently reading
2 people want to read

About the author

Daniel Nedal

4 books

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