Machine Learning: For Beginners

Definitive Guide for Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple (Machine Learning, Book 1)

By: Matt Gates

Narrated by: Alex Benson

Have you ever paused and wondered why some companies like Amazon know what you like and make timely recommendations to you?

Have you noticed that some ads are really "sticky" and seem to follow you from your favorite websites to your Facebook or LinkedIn?

Everyone hates spam emails and if you have email accounts from different email providers, you can see which is doing a better job in filtering them out for you.

Machine learning has become an important backend pillar for technologies to innovate and improve while continuing to learn to bring us the best possible results that we desire based on our feedback. With time, the results get better and more accurate which bring us better values such as convenience and save us time.

In this book, you will have a peek into what machine learning is all about and the vast applications which underpin this revolutionary AI technology.

Here's what you will learn:

• The ins and outs of machine learning algorithms
• Some of the applications that have been developed as a result of machine learning
• An important chapter that is fundamental to applying machine learning
• The building blocks of machine learning
• Explore the three different types of machine learning algorithms
• And much more....

Machine Learning: For Beginners: Definitive Guide for Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple is your must-have guide to explore and learn about machine learning, neural networks, algorithms (Markov, Bayes, KNN, and many more), random forests, and decision trees.

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

©2017 Matt Gates (P)2017 Matt Gates

easy-to-interpret audio guide

This is one easy-to-interpret audio guide. Even with all the technicalities, any reader without prior knowledge on ML can grasp the subject clearly. The author’s easy style made it possible to do so. Thumbs up for this!

it's very specific

The discussion has been very specific, although this is really intended for people who have basic knowledge on machine learning. I’m also planning on consulting data analytics books too to enhance my learning.

Suits newbies really well.

Suits newbies really well. I felt like I was back in school and it was quite challenging actually. My curiosity on automated learning was piqued even more right after I managed to listen to this book in one sitting. But the narrator was pretty fast when reading it. I had to go back every time.

Great information, some heavy math.

great book, lots of great information. Had a considerable amount of mathematics with numerous variables interacting with each other in equations.
better than an intro, not as detailed as a tutorial.
really great book all in all.

I'm getting the hang of it. Thanks to this.

Data mining has caught my interest so much and that explains why I got this machine learning guide. The thorough explanation made it more impressive.