Machine Learning: A Comprehensive, Step-By-Step Guide To Learning And Understanding Machine Learning From Beginners, Intermediate, Advanced, To Expert Concepts and Techniques

Bradley, Peter

ISBN 10: 139311461X / ISBN 13: 9781393114611

Published by Peter Bradley, 2019

About this Item

pp. 418.

Seller Inventory # 26379726464

Bibliographic Details

• Title: Machine Learning: A Comprehensive, Step-By-Step Guide To Learning And Understanding Machine Learning From Beginners, Intermediate, Advanced, To Expert Concepts and Techniques
• Publisher: Peter Bradley
• Publication Date: 2019
• Language: English
• ISBN 10: 139311461X
• ISBN 13: 9781393114611
• Binding: Soft cover
• Condition: New

About this title

Synopsis

This book includes:

• Machine Learning: A Complete Exploration of Highly Advanced Machine Learning Concepts, Best Practices and Techniques

• Machine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning

• Machine Learning: A Comprehensive, Step-by-Step Guide to Learning and Applying Advanced Concepts and Techniques in Machine Learning

• Machine Learning For Beginners: A Comprehensive, Step-by-Step Guide to Learning and Understanding Machine Learning Concepts, Technology and Principles for Beginners

Machines are created to make work easier for us, but so many have seen machines as a major barrier due to their supposed technicality of machines.

Are you a novice trying to understand the basics of machine?

Do you have prior knowledge and you wish to acquire further understanding about tensorFlow, scikit-learn, algorithms, decision trees, random forest, deep learning or neural networks?

Are you even a pro and you wish to add to your knowledge?

This book is all you need. This painstakingly compiled manuscript unravels the rudiments and generality of machine learning. It is total and all encompassing with accurate and concise principles of machine learning. This quintessential book comprises modules that cut across various level of knowledge in machine learning. It is an exquisite material that grants you practical knowledge in machines. It weighs more than mere words, it is gold in manuscript.

You might not know how much you know or how much you need to know until you avail yourself with essential materials. This book is not one of all you need to understand machine learning; it is all you need to uncover the full scope of learning machines.

Technicality is very relative when you have the right knowledge. Stay ahead; make a choice that will last.

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