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{ "item_title" : "Numsense! Data Science for the Layman", "item_author" : [" Kenneth Soo", "Annalyn Ng "], "item_description" : "Reference text in top universities like Stanford and CambridgeSold in over 85 countries, translated into more than 5 languagesWant 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 TestingAnomaly DetectionAssociation RulesClusteringDecision Trees and Random ForestsRegression AnalysisSocial Network AnalysisNeural NetworksFeatures:Intuitive explanations and visualsReal-world applications to illustrate each algorithmPoint summaries at the end of each chapterReference sheets comparing the pros and cons of algorithmsGlossary list of commonly-used termsWith 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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/111/068/9811110689_b.jpg", "price_data" : { "retail_price" : "28.99", "online_price" : "28.99", "our_price" : "28.99", "club_price" : "28.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Numsense! Data Science for the Layman|Kenneth Soo

Numsense! Data Science for the Layman : No Math Added

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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.

This item is Non-Returnable

Details

  • ISBN-13: 9789811110689
  • ISBN-10: 9811110689
  • Publisher: Annalyn Ng & Kenneth Soo
  • Publish Date: March 2017
  • Dimensions: 9 x 6 x 0.38 inches
  • Shipping Weight: 0.62 pounds
  • Page Count: 146

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