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Machine Learning For Absolute Beginners: A Plain English Introduction (Second Edition) (Learn AI & Python for Beginners) Kindle Edition


NOTICE: To buy the newest edition of this book, please search "Machine Learning Absolute Beginners Third Edition" on Amazon. The product page you are currently viewing is for the 2nd Edition of this book.

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 epic journey, there are some high-level theory and statistical principles to weave 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 book provides a practical and high-level introduction to machine learning.

Machine Learning for Absolute Beginners Second 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 and engaging to follow along at home.

New Updated Edition
This major
new edition features many topics not covered in the First Edition, including Cross Validation, Ensemble Modeling, Grid Search, Feature Engineering, and One-hot Encoding. Please note that this book is not a sequel to the First Edition but rather a restructured and revamped version of the First Edition. Readers of the First Edition should not feel compelled to purchase this 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 offer you a clear lay of the land.

In This Step-By-Step Guide You Will Learn:

• How to download free datasets
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
Clustering, including k-means clustering, to find new relationships
• The basics of
Neural Networks
Bias/Variance to improve your machine learning model
Decision Trees to decode classification
• How to build your first
Machine Learning Model to predict house values using Python

Frequently Asked Questions

Q: Do I need programming experience to complete this e-book?
A: This e-book is designed for absolute beginners, so no programming experience is required. However, two of the later chapters introduce Python to demonstrate an actual machine learning model, so you will see programming language used in this book.

Q: I have already purchased the First Edition of Machine Learning for Absolute Beginners, should I purchase this Second Edition?
A: As many of the topics from the First Edition are covered in the Second Edition, you may be better served reading a more advanced title on machine learning.

Q: Does this book include everything I need to become a machine learning expert?
A: Unfortunately, no. This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master machine learning.

Please feel welcome to join this introductory course by buying a copy, or sending a free sample to your device.
Due to its large file size, this book may take longer to download

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    Sold by: Amazon Asia-Pacific Holdings Private Limited
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Customer reviews

4.4 out of 5 stars
1,550 global ratings

Customers say

Customers find the book serves as a good starter for machine learning, with one review highlighting how it guides through the model creation process step by step. Moreover, the book receives positive feedback for its simplicity. However, the language receives mixed reactions from customers.

8 customers mention "Introduction to machine learning"7 positive1 negative

Customers find the book serves as a good starter for machine learning, with one customer noting it provides a step-by-step guide to creating models and includes a practical Python example at the end.

"...So start your journey and for that this is a good Starter." Read more

"Good intro to machine learning. Can recommend as a good intro book to others, especially students. Good job overall. Well done." Read more

"...aspects of various ML techniques in very simple way which is great for a beginner...." Read more

"It's an simplified introduction to machine learning for beginners, it gives you fair idea of what , why and how of machine learning and ends with a..." Read more

4 customers mention "Simplicity"4 positive0 negative

Customers find the book simple to understand.

"...the theoretical and practical aspects of various ML techniques in very simple way which is great for a beginner...." Read more

"The world is now behind Machine Learning, to ease up and provide better facility and thereby improving the capabilities on our the day to day actions..." Read more

"Simplified..." Read more

"Simple and understandable..." Read more

3 customers mention "Language"2 positive1 negative

Customers have mixed opinions about the language of the book, with one finding it easy to understand while another mentions it uses difficult terms.

"Good and easy language" Read more

"Just gives summary in difficult terms to understand." Read more

"Simple and understandable..." Read more

Top reviews from India

Top reviews from other countries

  • Hazael
    5.0 out of 5 stars Un libro excelente para principiantes
    Reviewed in Mexico on 9 May 2019
    Format: Kindle EditionVerified Purchase
    es un libro excelente para aquellos, como yo, que desean iniciar su aprendizaje sobre el machine learning, en caso me resulto bastante útil para comprender lo básico, lo recomiendo a todos aquellos que desean comenzar su aventura, investigación, aprendizaje sobre este tema.
  • Kyragos
    5.0 out of 5 stars Does what is says
    Reviewed in France on 1 June 2022
    Format: Kindle EditionVerified Purchase
    As its title says, this is an introduction. A short, structured book useful for pure beginners in order to get a good grasp of data science, machine learning and the main algorithms. Obviously less useful for people with preexisting knowledge in machine learning. Prior basic knowledge of programming and mathematics is recommended.
  • Robert
    5.0 out of 5 stars A concise and easy to read introduction to machine learning
    Reviewed in Canada on 14 February 2020
    Format: PaperbackVerified Purchase
    Easy to understand as a novice and loved the fact that in the last couple of chapters, you actually get to put the book to use by building and optimising a decision tree based machine learning model using Python.
  • Daniel
    5.0 out of 5 stars Concepts are very well explained
    Reviewed in Spain on 17 June 2020
    Format: PaperbackVerified Purchase
    I highly recommend this book for people who want to start with Machine learning.
    It is a great starting point's book to get into this world.
    Concepts are very we'll explained. I started to understand things I had not been able to understand with other books and YouTube videos.
    It is helping me a lot to understand the foundations and key concepts of Machine learning.
  • Ulkar
    5.0 out of 5 stars Great for beginners!
    Reviewed in Germany on 18 December 2019
    Format: PaperbackVerified Purchase
    I bought this book for my wife and I have never seen her so happy! She rarely finishes an academic book, but this one felt so natural for her to get to the end of it. She had no knowledge of machine learning but a physics background.

    This book gives a great way of starting into this fascinating topic!

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