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----------------------------------------Reference text for data science in top universities like Stanford and Cambridge.Sold in over 85 countries and 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 NetworksFeatures:- 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 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.
eBook details
- Title: Numsense! Data Science for the Layman: No Math Added
- Author : Annalyn Ng, Kenneth Soo
- Release Date : *
- Genre: Kindle Store,Kindle eBooks,Engineering & Transportation
- Pages : * pages
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