Your Starter Guide for Data Management, Model Training, Neural Networks, Machine Learning Algorithms

Machine Learning: For Beginners, Book 1

De: Ken Richards

Narrado por: Jacob Ford

Duración: 1 h y 41 m

Resumen del Editor

Discover and learn all about machine learning. This audiobook covers the basic and fundamental subjects on machine learning and its application.

Are you clueless about what machine learning is about?

Have you ever wonder how a machine (Deep Blue) can beat Garry Kasparov, a reigning world champion in chess? Do you know that a handful of Fortune 500 companies are using machine learning in new creative ways?

Machine learning has been around for more than a decade and yet its usage is still in its infancy and innovating in an interesting way. Companies are investing heavily in machine learning and are reaping generous rewards. Some of their products have become an essential part of our daily activities such as the navigation systems in our vehicles.

In this audiobook, you will learn about the basics of machine learning and its applications, which is the fundamental block of artificial intelligence.

• Learn about the three types of machine learning
• Learn about the machine learning algorithms such as KNN
• Discover the machine learning tools that you can use
• Learn about data acquisition and data management
• Learn about model training, validation, and application
• Learn how neural networks work and usage
• And much more

Even if you feel that you may know some of the subjects discussed here, be open and give this book a chance. You may find a new perspective, learn something new, and pick up some valuable tools. It's written in an informative way for easy listening.

©2017 Ken Richards (P)2017 Ken Richards

very informative for new folks

Nice description of the components of machine learning. Good overview for beginners. I'll continue to book 2.

Useful guide for the beginner's.

It is very informative and the author has explained it in a simplified way, making it very friendly for beginners. . This book causes me an impressive measure and appreciate what machine acknowledging is and how it's used as a piece of this present reality.

Worth in every aspect.

Given that my industrial engineer instructor’s poor in discussing lessons properly, I find this audio book worth the listen. Now I’m getting up to speed on the topic of machine learning quickly than I’ve expected. I stumbled on effective data acquisition strategies for newbies and I’ve come to possess the intuition on how to use the algorithms correctly.

A great book to read to learn machine learning

I liked this book very much and I found it very informative and useful. This definitely written in a context for beginners which is easy to understand. These and other pertinent information on Machine Learning are concisely presented in this book. The author does a great job of making a complex topic seem easy.

good briefing

Machine Learning for Beginners: Your Starter Guide for Data Management, Model Training, Neural Networks, Machine Learning Algorithms by Ken Richards is an educative tool that will brief you on the basics and the applications ML is used in. I pretty much appreciate how Ken Richards used simplified terms to explain everything. I still can’t believe how big ML’s work encompasses especially how it helps companies work compatibly with users.

Packed Full of Useful Information!

What did you love best about Your Starter Guide for Data Management, Model Training, Neural Networks, Machine Learning Algorithms?

I think this book is great for Adults to have as a handbook for either themselves, or those interested in the material. (like my nephew) You can sound educated, and be helpful lol Especially with the up and coming generation!

Was this a book you wanted to listen to all in one sitting?

Yes, I wanted to listen once all the way through, then be able to refer to it as needed.

Any additional comments?

As I said, lots of information packed into a short amount of time which is great for me.I tend to zone out listening to these types of books, but the Narrator did a good job, and held my attention!

With practical examples illustrated!

As a newbie, I was able to follow through with the discussion and that’s thanks to the help of the practical examples included. Designing systems now sound exciting to me. We are unaware of the applications machine learning is used, but we’re now using them and it’s awesome!

One of th ebest ML guides to check.

After listening to this, I just found out how ML is extremely useful to the online biz world. It’s one good overview of the ML, its applications, the algorithms, and so much more! Although I think it will be cooler if there were any comparisons provided.

Intended for newbies

In spite of the complexity of the subject, beginning learners won’t be so hard up following with this book as it’s really intended for newbies. Why? Step-by-step tutorials and instructions are presented. Not to mention the practical examples.

This is an excellent book

Any additional comments?

I enjoyed the way the author makes Machine Learning accessible to a novice like me. For anyone who is interested in learning the terminology and scope of approaches that comprise machine learning, this book is current, concise, and informative.