Numsense! Data Science for the Layman

No Math Added

By: Annalyn Ng

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Paperback | 24 March 2017

At a Glance

Paperback
146 Pages

Dimensions(cm)
22.5 x 15 x 1.5

Paperback

$64.75

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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 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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