Preview
  • Machine Learning for Absolute Beginners

  • Python for Data Science, Book 3
  • By: Oliver Theobald
  • Narrated by: Scott Morgan
  • Length: 3 hrs and 48 mins
  • 3.5 out of 5 stars (4 ratings)

Prime logo Prime members: New to Audible?
Get 2 free audiobooks during trial.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 30 days. Cancel anytime.

Machine Learning for Absolute Beginners

By: Oliver Theobald
Narrated by: Scott Morgan
Try for $0.00

$14.95/month after 30 days. Cancel anytime.

Buy for $14.95

Buy for $14.95

Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

Publisher's summary

Featured by Tableau as the first of "7 Books About Machine Learning for Beginners."

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 journey, there are some high-level theory and statistical principles to weave through first.

But rather than spend $30-$50 USD on a thick textbook, you may want to listen to this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations.

Machine Learning for Absolute Beginners Third Edition 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 to follow along at home.

New Updated Edition

This new edition features extended chapters with quizzes, free supplementary online video tutorials for coding models in Python, and downloadable resources not included in the Second Edition.

Disclaimer: If you have passed the "beginner" stage in your study of machine learning and are ready to tackle coding and deep learning, 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 give a clear lay of the land.

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

  • How to download free datasets
  • What tools and machine learning libraries you need
  • Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data
  • Preparing data for analysis, including k-fold Validation
  • Regression analysis to create trend lines
  • k-Means Clustering to find new relationships
  • The basics of Neural Networks
  • Bias/Variance to improve your machine learning model

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2022 Oliver Theobald (P)2022 Oliver Theobald
activate_Holiday_promo_in_buybox_DT_T2

What listeners say about Machine Learning for Absolute Beginners

Average customer ratings
Overall
  • 3.5 out of 5 stars
  • 5 Stars
    2
  • 4 Stars
    0
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    1
Performance
  • 3 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    0
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    1
Story
  • 3 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    0
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    1

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Pace

Excellent book for beginners trying to enter the AI world. Interesting case studies and examples.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    1 out of 5 stars
  • Performance
    1 out of 5 stars
  • Story
    1 out of 5 stars

Text read does not match the book

It seems there is a newer version of this book because while the titles are the same the book covers look slightly different and have different texts within the chapters. Unclear why this is.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

1 person found this helpful