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Machine Learning for Absolute Beginners: A Plain English Introduction (First Edition) by [Theobald, Oliver]
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Machine Learning for Absolute Beginners: A Plain English Introduction (First Edition) Kindle Edition

5.0 out of 5 stars 2 customer reviews

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Length: 169 pages Enhanced Typesetting: Enabled Page Flip: Enabled
Language: English

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Product description

Product Description

Please note the second edition of this title is now available on Amazon.




Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?




Well, hold on there...




Before you embark on your epic journey into the world of machine learning, there is some basic theory to march through first.




But rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this short book offers a practical and high-level introduction to the practical components and statistical concepts found in machine learning.


Machine Learning for Absolute Beginners has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home.


This title opens with a general introduction to machine learning from a macro level. The second half of the book is more practical and dives into introducing statistical concepts and specific algorithms applied in machine learning, including their pros and cons. At the end of the book, I share insights and advice on further learning and careers in this space.


Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle deep learning and Scikit-learn, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment - as a fully grown Simba looking over the Pride Lands of Africa - then this is the book to gently hoist you up and offer you a clear lay of the land.


In this step-by-step guide you will learn:


- The very basics of Machine Learning that all beginners need to master


- Association Analysis used in the retail and E-commerce space


- Decision Trees for visually mapping and classifying decision processes


- Regression Analysis to create trend lines and predict trends


- Data Reduction and Principle Component Analysis to cut through the noise


- k-means and k-nearest Neighbor (k-nn) Clustering to discover new data groups


- Introduction to Deep Learning/Neural Networks


- Bias/Variance to optimize your machine learning model


- Create your first machine learning model to predict video game sales using Python


- Careers in the field


Please also note that under Amazon’s Kindle Book Lending program, you can lend this e-book to friends and family for a duration of 14 days (https://www.amazon.com/gp/help/customer/display.html).


If you want to learn more, please go ahead and send a free sample to your device or check out Amazon's handy 'Look Inside' feature.




Product details

  • Format: Kindle Edition
  • File Size: 9209 KB
  • Print Length: 169 pages
  • Publisher: Scatterplot Press; 1 edition (18 February 2017)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • ASIN: B06VXKBLNG
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: 5.0 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: #57,517 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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2 customer reviews

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17 March 2017
Format: Kindle EditionVerified Purchase
20 July 2017
Format: Kindle Edition

Most helpful customer reviews on Amazon.com

Amazon.com: 4.3 out of 5 stars 70 reviews
fitzalling
5.0 out of 5 starsIf you are interested in a data science/machine learning, read this book
27 March 2017 - Published on Amazon.com
Format: Kindle EditionVerified Purchase
21 people found this helpful
Scott McCrory
5.0 out of 5 starsExcellent introduction to ML and easy to read in just ...
24 December 2017 - Published on Amazon.com
Format: Kindle EditionVerified Purchase
One person found this helpful
Nadya AdlerAsh
5.0 out of 5 starsGreat book! Very convenient when one would like to ...
21 February 2018 - Published on Amazon.com
Format: Kindle EditionVerified Purchase
simone smith
5.0 out of 5 starsGot more than my moneys worth!
16 September 2017 - Published on Amazon.com
Format: Kindle EditionVerified Purchase
4 people found this helpful
C
3.0 out of 5 starsThree Stars
17 May 2018 - Published on Amazon.com
Format: Kindle EditionVerified Purchase