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Numsense! Data Science for the Layman: No Math Added

BOOK DETAIL

Amazon Business : For business-only pricing, quantity discounts and FREE Shipping. Register a free

business account 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 in Stanford's CS102 Big Data (Spring 2017) course. 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 colorblindfriendly.

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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