Numsense! Data Science for the Layman: No Math Added

Numsense! Data Science for the Layman: No Math Added

Book Details
  • Publication Date : Aug - 2019
  • Author : Annalyn Ng & Kenneth Soo
  • ISBN : 9789811110689
  • Format : Softcover

Used as course material in top universities like Stanford and Cambridge.

Sold in over 85 countries and 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, 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.