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Numsense! Data Science for the Layman: No Math Added by [Ng, Annalyn, Soo, Kenneth]
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Numsense! Data Science for the Layman: No Math Added Kindle Edition

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Length: 147 pages Word Wise: Enabled Enhanced Typesetting: Enabled
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Editorial Reviews

Review

"... Having been familiar with the work of Annalyn Ng and Kenneth Soo for some time, it comes as no surprise that the book delivers on its titular promise. This is data science for the layman, and the often-complex math--which the book describes at a high level--is intentionally not covered in detail. But don't be misled: this does not mean that the contents are in any way watered down. In fact, the information contained within is robust, with its strength being that it is abridged and concise..."
-- Matthew Mayo
Data Scientist and Deputy Editor of KDnuggets


"... Numsense! is a convenient graphical description of key data science algorithms, useful as an introduction for new data scientists, an overview for business people who work with analysts, or a stimulating read for anyone who wants to know what happens to their data."
-- Dr. David Stillwell
Deputy Director of The Psychometrics Centre,
Lecturer in Big Data Analytics and Quantitative Social Science,
Cambridge University Judge Business School



"... this is an excellent book to 'de-mystify' the black box of advanced statistics for business leaders who are launching studies that leverage big data."
-- Dr. Tathagata Dasgupta
Head of Data Science & Advanced Analytics at Viacom


"Numsense's excellent visualizations of machine learning concepts helped students coming from non-technical backgrounds to grasp these abstract concepts intuitively. It presents such a succinct and precise summary for what non-technical students need to know while navigating the world of data science for the first time."
-- Ethan Chan
Lecturer for CS102 Big Data
Stanford University



"This is a great book. It is hard to explain data science without the math but this book does an amazing job. It balances both the simplicity and the depth."
-- Ajit Jaokar
Data Science for Internet of Things
University of Oxford



"While there is no Royal Road to machine learning and data science, Numsense! comes pretty close--with plenty of figures and relatable examples, it succeeds in covering most important techniques in a clear, intuitive way that is perfect for novices and those seeking to improve their practice alike. I recommend Numsense! as a fantastic way to optimize your machine learning learning function!"
-- Barton Yadlowski
Data Scientist at Pandata LLC

From the Author

Numsense! is dedicated to you by two data science enthusiasts, Annalyn Ng (University of Cambridge) and Kenneth Soo (Stanford University).

We noticed that while data science is increasingly used to improve workplace decisions, many know little about the field. Hence, we compiled these tutorials into a book so that more people can learn--be it an aspiring student, enterprising business professional, or anyone with a curious mind.

Product details

  • File Size: 13999 KB
  • Print Length: 147 pages
  • Page Numbers Source ISBN: 9811110689
  • Publication Date: February 3, 2017
  • Sold by: Amazon Digital Services LLC
  • Language: English
  • ASIN: B01N29ZEM6
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Enabled
  • Lending: Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Amazon Best Sellers Rank: #10,806 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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