Numsense! Data Science for the Layman: No Math Added

Annalyn Ng, Kenneth Soo

  • 出版商: ***
  • 出版日期: 2017-03-24
  • 定價: $1,060
  • 售價: 8.0$848
  • 語言: 英文
  • 頁數: 146
  • 裝訂: Paperback
  • ISBN: 9811110689
  • ISBN-13: 9789811110689
  • 相關分類: 資料科學
  • 相關翻譯: 文科生也看得懂的資料科學 (繁中版)
  • 立即出貨 (庫存 < 3)



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


  • 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.