Numsense! Data Science for the Layman

Numsense! Data Science for the Layman
Author :
Publisher : Annalyn Ng & Kenneth Soo
Total Pages :
Release :
ISBN-13 : 9811110689
ISBN-10 : 9789811110689
Rating : 4/5 (89 Downloads)

Book Synopsis Numsense! Data Science for the Layman by : Annalyn Ng

Download or read book Numsense! Data Science for the Layman written by Annalyn Ng and published by Annalyn Ng & Kenneth Soo. This book was released on 2017-03-24 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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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