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Neural Data Science: A Primer with MATLAB® and Python™ by [Nylen, Erik Lee, Wallisch, Pascal]
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Neural Data Science: A Primer with MATLAB® and Python™ 1st Edition, Kindle Edition

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Product description


"Making sense of data is emerging as the limiting factor of progress in neuroscience. This book is the accessible way to learn how to do that." --Konrad Koerding, Professor, Northwestern University

"This is a fun, hands-on introduction to the important emerging field of neural data science. It's at the intersection of programming, data analysis, and neuroscience -- perfect for aspiring researchers looking to learn these three in parallel. This book will help inspire a new generation to join us in finding out how the brain works with modern computational tools." --Nikolaus Kriegeskorte, Programme leader, Cognition and Brain Sciences Unit, University of Cambridge

About the Author

Erik Lee Nylen received his PhD from the Center for Neural Science at New York University, and his BSE and MS in Biomedical Engineering at the University of Iowa. He did a fellowship at Insight Data Science, and has taught at the Neural Data Science summer course at Cold Spring Harbor Laboratory. He is a patented inventor and has performed with numerous musical groups. He is currently a data scientist in New York, where he also is Executive Co-Director of The Stand, the New York City Dance Marathon.

Product details

  • Format: Kindle Edition
  • File Size: 56939.0 KB
  • Print Length: 368 pages
  • Publisher: Academic Press; 1 edition (24 Feb. 2017)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B06XCW39WX
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #1,853,015 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Amazon.com: 5.0 out of 5 stars 4 reviews
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5.0 out of 5 starsA necessary book... you need to know both.
16 April 2017 - Published on Amazon.com
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4 people found this helpful.
Xun Wang
5.0 out of 5 starsHighly recommended.
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Conor Cox
5.0 out of 5 starsFunny, practical, clear, and useful
29 January 2018 - Published on Amazon.com
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Katie Nylen
5.0 out of 5 starsPerfect! I crept up the stairs and peeked my ...
12 April 2017 - Published on Amazon.com
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