Reference text in top universities like Stanford and Cambridge
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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.
Product details
- Paperback | 146 pages
- 152 x 229 x 10mm | 281g
- 24 Mar 2017
- Annalyn Ng & Kenneth Soo
- English
- 9811110689
- 9789811110689
- 255,503
Download Numsense! Data Science for the Layman : No Math Added (9811110689).pdf, available at ebookdownloadfree.co for free.
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