Machine Learning with Python: Principles of Machine Learning

De: L.E. Scott

Narrado por: Peter Nash

Have you always wanted to learn Machine Learning principles and how to create bots and more with Python?

Every day more and more of our technologies and processes are being automated and computing is no different. All one has to do is turn on the news and you will be inundated with reports of large A.I. investments and strides being made in Machine Learning, which means more and more jobs will be available in these sectors for years to come.

What those reports do not tell you is the fact that many of those programs are made in languages like Python and more importantly for anyone that knows even a little of the Python language are relatively easy to learn.

What doe’s Machine Learning offer?

Besides being able to automate many simple coding operations and algorithms so that you can complete daily tasks and projects faster than before, Machine Learning makes you more employable down the line. Tons of money is being invested in machine learning and A.I. start ups. Those startups and companies both have something in common, they need developers.

You too, can learn Machine Learning and take your career to the next level before you are left behind. By learning Machine Learning and other A.I. concepts and how to make to create them in Python you are only making yourself that much more employable and even better learning a skillset that will help you get the salary that you deserve.

What does this audiobook offer?

This audiobook will teach you everything that you need to know to start creating simple shell scripts and bots today. Whether you have been working in the Python language for years or are brand new to using Python this audiobook has everything you need to start creating programs and algorithms for machine learning today.

©2019 L.E. Scott (P)2020 L.E. Scott

Nice intrroduction to data science concepts.

Listening this audiobook you will get knowledge about various aspects involved in data mining and how to exactly set up the appropriate environment for your machine learning.

This is a fantastic audiobook.

I found this audiobook to be very clearly recording and also very informative since in addition to providing code examples it tried to illustrate the basics of theory behind what makes machine learning work.

This makes it even easier to follow.

Very thorough in its explanations with many information to go along with it. If you listen through the first chapter, you will see that the narrated includes all of his code online.

Practical approach to machine learning topic.

Not only details about all algorithms, but also discusses various critical steps in preparing the data sets for ML work, evaluating the models using APIs from Scikit-Learn and Tensor Flow. Can't wait to attempt two RNN projects at the end of the audiobook.

It's just so easy.

It has helped me to consolidate my own disjointed self-training approach and has made me improve my existing scripts as well as helped me get on new ones quickly.

I suggested this audiobook listening.

I enjoyed this audiobook. It is a quick read and gives a good understanding of the importance of the need for a data science approach to your business.

I'm ready to start my first ML experiment.

This audiobook is great at introducing machine learning concepts to the beginning user. I really enjoy and learn lots of basic things to start my career in Machine Learning. Useful.

this book is a sham

Really horrible book in every sense of the word.
All the ratings are most probably sham too. I've seen on YT video about ways to trick Amazon with false ratings that you could even buy cheap in China but this is the first one that I've experienced in person.
If you check the dates for the other "one sentence" ratings (I did it after I bought the book) all came in a short time period.

Narration is as done by a machine or by the person with no clue what he is reading, how about C# pronounced as C number etc.
My guess is that book is written in some other language and translated by some machine translator so many even basic technical terms got strange translations (how about explore instead of browse, translator/mediator instead of interpreter, form/rendition instead of version, highlights and capacities instead of features here we are talking about python, appropriation instead of distribution - here we are talking about linux, "compose code in the book record" "feed the archive to the mediator" I'm not really sure the exact meaning of these sentences, and those are just a few I could recall).
Structure of the book i terrible too. First chapter is about installing python. Chapter 2 is a mishmash of if different things (a lot trivial and even wrong things about python, consistently throughout the chapter repeating 20-30 times the words "python three" instead plain python, talking about using wordpad or notepad++ con shell ...).
In the beginning of the chapter 3 I had to stop. I could not stand listening to some more garbage.

I thought Audible had some kind of the review board before publishing its audio books. This book proved me wrong and I'll be much more careful in the future.

In the end: Don't waste any time or money on this horrible book!

The content is explained good and with a flow.

This audiobook is for any one who wants general understanding of the data science and it's related fields. If you are new in this field this audiobook will be a good listen for deciding your career.

The creator worked superbly.

Excessively straightforward anyway it gives us an incredible comprehension. This audiobook makes me significantly make a couple of data examinations successfully.