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Numsense! Data Science for the Layman: No Math Added
Annalyn Ng
(Author)
·
Kenneth Soo
(Author)
·
Annalyn Ng & Kenneth Soo
· Paperback
Numsense! Data Science for the Layman: No Math Added - Soo, Kenneth ; Ng, Annalyn
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Origin: U.S.A.
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Synopsis "Numsense! Data Science for the Layman: No Math Added"
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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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