Numsense! Data Science for the Layman: No Math Added

By Annalyn Ng and Kenneth Soo

Book Overview

Reference text in top universities like Stanford and Cambridge
Sold in over 85 countries, 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 and visuals.

Popular concepts covered include: A/B TestingAnomaly DetectionAssociation RulesClusteringDecision Trees and Random ForestsRegression AnalysisSocial Network AnalysisNeural NetworksFeatures: Intuitive explanations and visualsReal-world applications to illustrate each algorithmPoint summaries at the end of each chapterReference sheets comparing the pros and cons of algorithmsGlossary list of commonly-used termsWith 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.

• Format: Paperback
• Language: English
• ISBN: 9811110689
• ISBN13: 9789811110689
• Release Date: March 2017
• Publisher: Annalyn Ng & Kenneth Soo
• Length: 146 Pages
• Weight: 0.91 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"