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
Why is ISBN important?
ISBN
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Have one to sell?
<Embed>
Loading your book clubs
There was a problem loading your book clubs. Please try again.
Not in a club? Learn more
Amazon book clubs early access

Join or create book clubs

Choose books together

Track your books
Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free.
Used: Good | Details
Condition: Used: Good
Comment: A copy that has been read, but remains in clean condition. All pages are intact, and the cover is intact. The spine may show signs of wear. Pages can include limited notes and highlighting, and the copy can include previous owner inscriptions. At ThriftBooks, our motto is: Read More, Spend Less.
Access codes and supplements are not guaranteed with used items.
15 used from $32.85
& FREE Shipping
In Stock.
Ships from and sold by Amazon.com.
Available at a lower price from other sellers that may not offer free Prime shipping.
Arrives: Tuesday, Oct 6 Details
Fastest delivery: Wednesday, Sep 30 Details
List Price: $43.99
Save: $7.00 (16%)
31 new from $32.91
& FREE Shipping. Details

Fundamentals of Deep Lear... has been added to your Cart

Available at a lower price from other sellers that may not offer free Prime shipping.

Limited time deal: Save up to 40% on over 150 great reads pantry

click to open popover

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
    Apple
  • Android
    Android
  • Windows Phone
    Windows Phone
  • Click here to download from Amazon appstore
    Android

To get the free app, enter your mobile phone number.

kcpAppSendButton

Frequently bought together

  • Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
  • +
  • Deep Learning: A Practitioner's Approach
  • +
  • Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Total price: $106.94
Buy the selected items together

Special offers and product promotions


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