Download Ebook , by John Anderson
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, by John Anderson
Download Ebook , by John Anderson
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Product details
File Size: 8058 KB
Print Length: 224 pages
Simultaneous Device Usage: Unlimited
Publisher: AI Sciences LLC; 1 edition (August 1, 2018)
Publication Date: August 1, 2018
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07G4M16JF
Text-to-Speech:
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Amazon Best Sellers Rank:
#117,416 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
This is an excellent guide book for the beginner's.From this book you will learn about overview of python programming language,supervised learning algorithms,unsupervised learning algorithms,semi-supervised learning algorithms,reinforcement learning algorithms and much more.I hope you must find this book useful.
Hands On Machine Learning with Python it is especial book for me. i am very interested to lean Machine Learning this book perfect for me. the very well writing step by step guide very helpful for me. i recommended this book.
I purchased this book but not much expectation but after reading it I can't complain.To start, the book size and width is perfect to carry it with you everywhere (one of thereasons i could finish it reading). Second, the content is easy to read following the examples,and straight to the point. Yes, some basic knowledge is assumed but nothing you can quicklyfigure out searching in google. Plus, the exercises can be found on their website which makeseasier to follow along. In summary, i am very satisfied with this book and surely the other onesfollow the same standard.
Missing code. No author contact information for questions.
I found this book to be an excellent reference book for a Machine learning and data science beginner like me. I am a developer, and I take the courage to dive into this book. It gives me a lot of great information I never believed I can understand them. Some of the information presented is available on the Internet, but this book brings much of it together in one place. If you want to learn to think like a machine-learning analyst--this is the book to begin with.
A good reference book, but a poor learning book.
Best book on Machine Learning ! I recommend this as a beginner guide to ML.The explanation of concepts is so simple; anyone can learn Machine learning even my child on reading this book.
Enjoying this book. It gives the mathematical and theoretical basis for the topics and code shames for how to implement. The book coves scikit learn and traditional machine learning techniques (regression, svm, decision trees). The theory explanation is good quality, The source coded is available for download,I can see someone creating a better introduction to machine learning alone, for beginners. Or a book with greater depth on machine learning topic. But the other books so far are either out of date or lack the quality writing found in this book. This is all I have found that is both well written and up to date.
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