Download Ebook , by Jonathan Adam
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, by Jonathan Adam
Download Ebook , by Jonathan Adam
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Product details
File Size: 4484 KB
Print Length: 134 pages
Page Numbers Source ISBN: 1725929988
Simultaneous Device Usage: Unlimited
Publisher: AI Sciences LLC; 1 edition (August 18, 2018)
Publication Date: August 18, 2018
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07GMVP3WP
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Amazon Best Sellers Rank:
#143,398 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
A very quick and easy read introduction ML. Worth the price paid for kindle edition.
Easy to follow and understand, good for basic readers as well as experienced programmers, definitely recommend it to others. Thanks
Its ok fro beguinners easy to read and understandneed more examples to achieve in better and technical way the knowledge
The book delivers what it promises: a digestible introduction to machine learning that focuses on the concepts while still providing some practical example.
The author has done a good job in providing "Hands-On" material to go along with theoretical understanding of Machine Learning. Other authors will do better justice to the explain the theory and show the math But when reading these books while taking classes, I felt that I was missing details on how to go about to practice the theory. The author, as an expert practitioner, provides code on to clean up data, find relevant attributes, and use different and alternate methods to understand data. This a great introduction to practical matters in Machine Learning. It is a great companion to be able to run experiments to practice the theory,
It is great book. Teaching with very clear language, supporting knowledge with good exercises. I loved this book
I was interested in learning about modern practice, and this book was extremely helpful in that regard. I loved the author's very careful writing, it is obvious that he lavished this book with love and attention, and it shows.
I rarely leave product reviews, but this book is fantastic! Highly recommend it to anyone who wants to get started in ML. A week with this book did more than sorting through hundreds of free online tutorials for weeks.
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