Numsense! Data Science for the Layman: No Math Added

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.
1130528818
Numsense! Data Science for the Layman: No Math Added

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.
28.99 In Stock
Numsense! Data Science for the Layman: No Math Added

Numsense! Data Science for the Layman: No Math Added

by Kenneth Soo, Annalyn Ng
Numsense! Data Science for the Layman: No Math Added

Numsense! Data Science for the Layman: No Math Added

by Kenneth Soo, Annalyn Ng

Overview

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.

Product Details

ISBN-13: 9789811110689
Publisher: Annalyn Ng & Kenneth Soo
Publication date: 03/24/2017
Edition description: New Edition
Pages: 146
Sales rank: 1,225,098
Product dimensions: 6.00(w) x 9.00(h) x 0.38(d)
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