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: $1,220
  • 售價: 9.0$1,098
  • 語言: 英文
  • 頁數: 146
  • 裝訂: Paperback
  • ISBN: 9811110689
  • ISBN-13: 9789811110689
  • 相關分類: Data Science
  • 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)

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商品描述

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

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.

商品描述(中文翻譯)

這本書是斯坦福大學CS102大數據(2017年春季)課程中使用的教材。

想要開始學習數據科學嗎?我們承諾:不需要數學。

這本書以通俗易懂的方式撰寫,作為數據科學及其算法的初級介紹。每個算法都有專門的章節來解釋其工作原理,並展示一個真實應用的例子。為了幫助您理解關鍵概念,我們使用直觀的解釋和大量的視覺材料,並且所有視覺材料都適合色盲人士。

涵蓋的熱門概念包括:
- A/B測試
- 異常檢測
- 關聯規則
- 聚類
- 決策樹和隨機森林
- 迴歸分析
- 社交網絡分析
- 神經網絡

特點:
- 直觀的解釋和視覺材料
- 用於說明每個算法的真實應用
- 每章結束時的要點摘要
- 比較算法優缺點的參考資料
- 常用術語詞彙表

通過這本書,我們希望讓您實際了解數據科學,以便您也能利用其優勢做出更好的決策。