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Java Deep Learning Essentials Paperback – Import, 6 Jan 2016

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Product description

About the Author

Yusuke Sugomori is a creative technologist with a background in information engineering. When he was a graduate school student, he cofounded Gunosy with his colleagues, which uses machine learning and web-based data mining to determine individual users' respective interests and provides an optimized selection of daily news items based on those interests. This algorithm-based app has gained a lot of attention since its release and now has more than 10 million users. The company has been listed on the Tokyo Stock Exchange since April 28, 2015. In 2013, Sugomori joined Dentsu, the largest advertising company in Japan based on nonconsolidated gross profit in 2014, where he carried out a wide variety of digital advertising, smartphone app development, and big data analysis. He was also featured as one of eight "new generation" creators by the Japanese magazine Web Designing. In April 2016, he joined a medical start-up as cofounder and CTO.

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Product details

  • Paperback: 254 pages
  • Publisher: Packt Publishing Limited (6 January 2016)
  • Language: English
  • ISBN-10: 1785282190
  • ISBN-13: 978-1785282195
  • Product Dimensions: 19 x 1.5 x 23.5 cm
  • Average Customer Review: 1.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: #2,16,365 in Books (See Top 100 in Books)
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13 March 2017
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Amazon.com: 3.6 out of 5 stars 7 reviews
Piotr
1.0 out of 5 starsIt looks like a "draft"
23 October 2016 - Published on Amazon.com
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4 people found this helpful.
RBoyd
2.0 out of 5 starsCould definitely benefit from an experienced editor
17 June 2016 - Published on Amazon.com
Format: PaperbackVerified Purchase
9 people found this helpful.
Joseph Catrambone
4.0 out of 5 starsQuite Good -- Not Just for Java
23 June 2016 - Published on Amazon.com
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4 people found this helpful.
Kindle Customer
5.0 out of 5 starsGreat read.
26 May 2017 - Published on Amazon.com
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Sujit Pal
5.0 out of 5 starsGood book on Deep Learning in Java
17 June 2016 - Published on Amazon.com
Format: Paperback
5 people found this helpful.