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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms Paperback – 2017

3.4 out of 5 stars 4 customer reviews

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  • Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
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Product description

About the Author

"Nikhil Buduma


Nikhil Buduma is a computer science student at MIT with deep interests in machine learning and the biomedical sciences. He is a two time gold medalist at the International Biology Olympiad, a student researcher and a ‚??hacker.‚?ù He was selected as a finalist in the 2012 International BioGENEius Challenge for his research on the pertussis vaccine and served as the lab manager of the Veregge Lab at San Jose State University at the age of 16. At age 19, he had a first author publication on using protist models for high throughput drug screening using flow cytometry. Nikhil also has a passion for education, regularly writing technical posts on his blog, teaching machine learning tutorials at hackathons and recently, received the Young Innovator Award from the Gordon and Betty Moore Foundation for re-invisioning the traditional chemistry set using augmented reality."

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Product details

  • Reading level: 10+ years
  • Paperback: 300 pages
  • Publisher: Shroff/O'Reilly; First edition (2017)
  • Language: English
  • ISBN-10: 9352135601
  • ISBN-13: 978-9352135608
  • Product Dimensions: 22.9 x 17.8 x 1.4 cm
  • Average Customer Review: 3.4 out of 5 stars 4 customer reviews
  • Amazon Bestsellers Rank: #64,274 in Books (See Top 100 in Books)
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4 customer reviews

3.4 out of 5 stars

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23 August 2017
Format: PaperbackVerified Purchase
5 people found this helpful
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3 July 2017
Format: PaperbackVerified Purchase
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5 September 2018
Format: PaperbackVerified Purchase
8 July 2017
Format: Kindle Edition

Most helpful customer reviews on Amazon.com

Amazon.com: 3.6 out of 5 stars 31 reviews
CHIH C.
1.0 out of 5 starsWritten as summary of all deep learning concepts.
29 August 2018 - Published on Amazon.com
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4 people found this helpful.
Neena Thomas
3.0 out of 5 starsAssumes some prior background
3 January 2018 - Published on Amazon.com
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3 people found this helpful.
Dimitri K
5.0 out of 5 starsGreat intuitive introduction
4 March 2018 - Published on Amazon.com
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2 people found this helpful.
Joshua Harkness
2.0 out of 5 starsThe theory of the book is solid, but none ...
7 April 2018 - Published on Amazon.com
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2 people found this helpful.
Dillon
3.0 out of 5 starsNot the best
30 October 2018 - Published on Amazon.com
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