Price: $15.99
(as of Nov 24, 2024 12:50:46 UTC – Details)
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 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.
ASIN : B01N29ZEM6
Publisher : ; 1st edition (February 3, 2017)
Publication date : February 3, 2017
Language : English
File size : 13987 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Enabled
Word Wise : Enabled
Print length : 147 pages
Customers say
Customers find the book informative, well-written, and excellent for de-mystifying the black box of advanced data science. They appreciate the authors’ simplicity and brevity, saying it’s easy to read and digest. Readers also say the content is lively and beautifully without abused jargons. Overall, they say the book is well worth the time and money.
AI-generated from the text of customer reviews
