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Numsense! Data Science for the Layman: No Math Added
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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 realworld 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 Realworld 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 commonlyused 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.
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