Machine Learning for Beginners

Algorithms, Decision Tree & Random Forest Introduction

By: William Sullivan

Narrated by: Lukas Arnold

Machines can learn?!

Machine learning occurs primarily through the use of "algorithms" and other elaborate procedures.

Whether you're a novice, intermediate, or expert this book will teach you all the ins, outs and everything you need to know about machine learning.

Instead of spending hundreds or even thousands of dollars on courses/materials why not listen to this audiobook instead? It's a worthwhile listen and the most valuable investment you can make for yourself.

What you'll learn:

• Supervised learning
• Unsupervised learning
• Reinforced learning
• Algorithms
• Decision tree
• Random forest
• Neural networks
• Python
• Deep learning
• And much, much more!

This is the most comprehensive and easy step-by-step guide in machine learning that exists.

Learn from one of the most reliable programmers alive and expert in the field.

©2017 Healthy Pragmatic Solutions Inc. (P)2017 Healthy Pragmatic Solutions Inc.

good intoduction

This book is ideal for people first coming into ML looking for a clear high-level introduction. Having said that, the book is also quite practical too, and I had good fun going through the example exercises to build regression lines and scrub datasets

Best ML intro book !

This is the best introduction book I have read in ML. It is very well written, good flow, clear language, easy to the grasp and understand. So much knowledge to absorb. It covers the core concept. I strongly recommend to any out there interested in this domain.

very great

Hugh does it again, transporting us to alien worlds and into alien minds. Throughout, he examines and questions and makes us think about the world as we experience it. True talent, this author offers us this stunning chance to question along with him

Love this book....

The guide really brought me up to speed fast on algorithms and the procedures by which machines can learn.

CLEAR GUIDE

Clear and concise introduction to ML. If you don’t have a background in data science, I wouldn’t let this stop you from picking up this book. My own expertise is in mobile web development, which is outside the scope of this book title, but I had no problems going through it.