Machine Learning Part I

S, Bharathi

ISBN 10: 163606485X / ISBN 13: 9781636064857

Published by Notion Press, 2020

About this Item

New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Bibliographic Details

• Title: Machine Learning Part I
• Publisher: Notion Press
• Publication Date: 2020
• Language: English
• ISBN 10: 163606485X
• ISBN 13: 9781636064857
• Binding: PAP
• Condition: New
• Weight: 59 grams

About this title

Synopsis

Machine Learning can be a Supervised or Unsupervised. If you have lesser amount of data and clearly labelled data for training, opt for Supervised Learning. Unsupervised Learning would generally give better performance and results for large data sets. If you have a huge data set easily available, go for deep learning techniques. You also have learned Reinforcement Learning and Deep Reinforcement Learning. You now know what Neural Networks are, their applications and limitations.

Finally, when it comes to the development of machine learning models of your own, you looked at the choices of various development languages, IDEs and Platforms. Next thing that you need to do is start learning and practicing each machine learning technique. The subject is vast, it means that there is width, but if you consider the depth, each topic can be learned in a few hours. Each topic is independent of each other. You need to take into consideration one topic at a time, learn it, practice it and implement the algorithm/s in it using a language choice of yours. This is the best way to start studying Machine Learning. Practicing one topic at a time, very soon you would acquire the width that is eventually required of a Machine Learning expert.