Machine Learning

A Comprehensive Journey from Beginner to Advanced Level to Understand Why You Must Keep pace with Innovation, Artificial Intelligence and Big Data with Practical Examples

By: Joseph Mining

Narrated by: Adam Hebert

Length: 3 hrs and 4 mins

Publisher's Summary

The world of technology is able to capture the imagination. There are so many great possibilities out there. From voice recognition to facial recognition to all of the different types of gadgets and software out there, it seems like technology is not going to slow down any time soon. Even with all of the cool things that we already have at our disposal, it is possible that in even a few years, there will be even more that we can do with this amazing technology that we are not able to do now. And much of it is due to machine learning.

This guidebook is going to take some time to explore machine learning, and what it is all about. There are so many different aspects of machine learning and how to make it work for your needs, and all of it is found in this guidebook. Some of the different topics that you will be able to learn about inside include:

• What is machine learning, and why would a programmer want to learn how to use it?
• Is artificial intelligence the same as working with machine learning?
• How to work with statistics and probability in order to understand more about machine learning.
• Learning some of the building blocks that will ensure your success with machine learning.
• Some of the machine learning algorithms that you can use on your own projects.
• The difference between supervised, unsupervised and reinforcement learning.

Machine learning is making some big changes in the world of technology. And as more programmers start to learn about it and how to use it, the possibilities are going to keep growing.

When you are ready to learn more about what machine learning is all about, and how you are able to benefit from it in your own coding and programming, make sure to check out this guidebook to help you get started.

©2019 Joseph Mining (P)2019 Joseph Mining

Simply awesome!

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Good information and easy to follow

I acquired had the option to hear it out ordinarily during my work drive. I particularly adored how the audiobook addresses explicit regions to help create discipline and after every section.

I find this audiobook very easy

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I just care about results so far

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Lots of great information

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The teaching method is excellent

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Overall excellent!

The development of tools for expressing domain experience, quantifying the effect into a learning bias, and translating such bias on the success of learning is a crucial theme of the theory of machine learning. Overall excellent!

Recommended. Appreciating content.

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Helpful

This is a very informative book. The book author well explanation in this book about Machine Learning Excellent narrative, uses data and information from a variety of sources to make objective points. An ideal book for both beginners and experienced people. Because here it is well described the importance of each step, as well as what will be if treated lightly.

Great book

Excellent book I looked up this book after taking Andrew Machine Learning course. While I am by no means an expert in the field, this has been a great reference and helped me bridge gaps in my knowledge. Moreover, it has been directly applicable to my day-to-day work and helped me to quickly get up to speed, at least to the point where I could ask intelligent questions of developers who are experts in the field.

Terrible book, don't waste your time.

Poorly written, bad grammar, no useful information. Total waste of time. It feels like someone (who's first language isn't English) has been tasked with hitting a minimum word count on a subject they don't really understand. If you want to learn about machine learning by far the best thing you can do is take Andrew Ng's coursera courses and take it from there.

Informative Book!

The book is an introduction into machine learning techniques which covers many of the topics without going into many detailed explanations. I have listen like ten books on neural networks and machine learning. These four books go from start to finish. Very good understanding and breadth.

This is so great book

Takes you beyond the curiosity phase of your machine learning education. I especially appreciated the effort made by the author to walk a newbie through installation of a new programming environment and then using it to produce something useful. Highly recommended.

Learned a lot!

This is a very resource able book for Machine Learning. This book author very clear and well audio it's easy to understand. Simple examples will help me understand the complex math and probability statistics underlining Machine Learning. This book helps for developing my skill. I appreciate this book.

Course of machine learning

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