Numsense! Data Science for the Layman
No Math Added
(Kindle Edition)

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Used in Stanford's CS102 Big Data 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 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.

AuthorAnnalyn Ng
BindingKindle Edition
Edition1
EISBN9789811127007
FormatKindle eBook
LanguageEnglish
Language TypePublished
Number Of Pages147
Product GroupeBooks
Publication Date2017-02-03
Release Date2017-02-03
Sales Rank663

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