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portada Machine Learning for Beginners: An Introductory Guide to Learn and Understand Artificial Intelligence, Neural Networks and Machine Learning (in English)
Type
Physical Book
Language
Inglés
Pages
134
Format
Paperback
Dimensions
22.9 x 15.2 x 0.7 cm
Weight
0.19 kg.
ISBN13
9781706523109

Machine Learning for Beginners: An Introductory Guide to Learn and Understand Artificial Intelligence, Neural Networks and Machine Learning (in English)

James Deep (Author) · Independently Published · Paperback

Machine Learning for Beginners: An Introductory Guide to Learn and Understand Artificial Intelligence, Neural Networks and Machine Learning (in English) - Deep, James

Physical Book

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Synopsis "Machine Learning for Beginners: An Introductory Guide to Learn and Understand Artificial Intelligence, Neural Networks and Machine Learning (in English)"

Curious about the world of Machine Learning?Would you like to explore its features?If so, then keep reading.Machine Learning is defined as the ability of algorithms to work efficiently without explicit programming.This book dives deep in analyzing the types, models, and applications of Machine Learning algorithms, using a tremendous comparative analysis approach. It sets the tone on pointing out the close relationship between the subsects of Artificial Intelligence and Machine Learning. The book also bears in mind the importance of data in Machine Learning by explaining the terminologies used about and the process of Data Mining. There is no Machine Learning without Data Mining.But that's not all, because "Machine Learning for Beginners" takes a trip on the current upsurge of intelligent machines and their application in various sectors of the economy.The book covers the field extensively offering recommendations on the suitable road to take for organizations and the general public. It outlines a different model for predictions in a step-by-step slant of the model, of the algorithmic process, of decision making, and solution.Inside this book you will find: The importance of Artificial intelligenceTypes of MLNeural & Bayesian networksMachine Learning ModelsSupport Vector MachineComponents of Soft ComputingDecision Trees classifiersML DatasetsApplications of Data Mining...and many more amazing and interesting topics!In general terms, this guide is an artifact for people looking to understand the basics of ML, not only from the beginners' viewpoint. If you have not joined the Machine Learning world yet, this is the best moment to do that. Want to know more?Scroll to the top of the page and click the "buy now" button!

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

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