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Numsense! Data Science for the Layman: No Math Added
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Paperback: 145 pages Publisher: Annalyn Ng & Kenneth Soo; 1 edition (March 24, 2017) Language: English
ISBN-10: 9811110689 ISBN-13: 978-9811110689 Product Dimensions: 6 x 0.4 x 9 inches Shipping Weight:
9.9 ounces (View shipping rates and policies)
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Book Description
Used as course material in top universities like Stanford and Cambridge. Sold in over 85 countries
and translated into more than 5 languages. Want to get started on data science? Our promise: no
math added. This book has been written in layman's terms as a gentle introduction to data science
and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and
shows an example of a real-world application. To help you grasp key concepts, we stick to
intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular
concepts covered include: A/B Testing Anomaly Detection Association Rules Clustering Decision
Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks
Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm
Point summaries at the end of each chapter Reference sheets comparing the pros and cons of
algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical
understanding of data science, so that you, too, can leverage its strengths in making better
decisions.

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{"isAjaxInProgress_B01MUKXGKD":"0","isAjaxComplete_B01MSF0T9V":"0","isAjaxComplete_B01MUKXGKD":"0","isAjaxInProgress_B01MSF0T9V":"0"} Kenneth Soo
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