Machine Learning for Dummies

The "Dummies" always exceed your expectations by not only explaining complex things in a simple way, but also by giving you extra details and sufficient range of professional real-world issues that will actually make you look professional on a new topic in a typical industry-pro conversation and even a job interview. Love to recommend those books and sometimes read them myself as it is the fastest way to get a proper introduction and directions for further study.

Good book, but as it progressed into the meatier sections of ML, I thought they moved away from the "for dummies" style of trying to explain things in layman's term and using examples that are simple and help you understand the concepts and intuitions of the material.

This machine learning book has helped take me from a newb sabot to an elite when it comes to understanding what all of those news articles talking about AI and Machine Learning are really saying. It has been a fascinating and inspiring read, it truly humbles me thinking about how far things have come in technology. I have learned that through math formulas we can mimic some aspects of things only relegated to living breathing creatures in the past.

This is a very good place to begin a journey into the very interesting and more and more important topic of this era, examples are showing up all around us, we are using this technology to aid us in our performance, but do not let the title fool you, as you well know, you will be confronted with some very powerful and complex thinking, but again as the title implies, you will walk away with a good comprehension of this ever so more important field

Good primer. I was expecting more on deep learning however good

This book helped give me a solid overview of machine learning in Python. It covers all of the bases, from setting up Python on the computer to the different machine learning algorithms. Also, there is code available online so you can bring it into your IDE.

Have not completed this one yet. As a newcomer to the subject, it seems like a good place to have started. Most of the examples seem clear and complete. Sometimes I get confused by the wording, but whether that's issues with syntax and style, or just my ignorance, I can't yet be sure. After I start coding and testing some of the learning programs, I'll have a better perspective.

This book is awesome because the world of data science and machine learning is complicated enough, this book directs you step by step in layman's terms. Easy to follow and wonderful examples to help you along the way. *Thumbs up*

il testo da un quadro esaustivo di ciò che si intende per machine learning.Ad una prima lettura risulta rilevante il quadro generale. E anche il modo di poter costruire con python.

I was looking for a book that explains me well the differences between AI and Machine Learning, and inside Machine learning the different practices or areas and how these can be applied according to different business needs. I did encounter some of this, but the 80% of the book is focused on programming environments... but I do not blame the book it was my fault for not reading carefully the outline of the book. Nevertheless I guess that this is going to be a good book for those seeking more detailed or deep approach to Machine Learning.

Usualmente me gusta tener un "...for dummies" cuando quiero estudiar por las distintas notas y lo fácil que es de digerir. Este no es una excepción. Muy buen libro introductorio.

Very detailed.

Bought that as a new learning tool. It does the job. Good book.