Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms 1st Edition

3.8 out of 5 stars 64 ratings
ISBN-13: 978-1491925614
ISBN-10: 9781491925614
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  • Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
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From the Publisher

Fundamentals of Deep Learning machine Deep Learning machine learning
Fundamentals of Deep Learning Deep Learning
Deep Learning from O'Reilly Media Designing Next-Generation Machine Intelligence Algorithms A Practitioner's Approach

Editorial Reviews

About the Author

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 â??hacker.â? 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.

Product details

  • Item Weight : 1.2 pounds
  • Paperback : 298 pages
  • ISBN-10 : 9781491925614
  • ISBN-13 : 978-1491925614
  • Product Dimensions : 7 x 0.5 x 9.25 inches
  • Publisher : O'Reilly Media; 1st Edition (July 4, 2017)
  • Language: : English
  • ASIN : 1491925612
  • Customer Reviews:
    3.8 out of 5 stars 64 ratings