Machine Learning: The Complete Step-By-Step Guide To Learnin

Bradley, Peter

ISBN 10: 1798105012 / ISBN 13: 9781798105016

Editore: Amazon Digital Services LLC - Kdp, 2019

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Dati bibliografici

• Titolo: Machine Learning: The Complete Step-By-Step Guide To Learnin
• Editore: Amazon Digital Services LLC - Kdp
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 1798105012
• ISBN 13: 9781798105016
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

This Book Includes :

• Machine Learning : A Comprehensive, Step-by-Step Guide to Learning and Understanding Machine Learning Concepts, Technology and Principles for Beginners
• 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 : A Complete Exploration of Highly Advanced Machine Learning Concepts, Best Practices and Techniques

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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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