Numsense! Data Science for the Layman PDF
By:Annalyn Ng
Published on 2017-03-24 by Annalyn Ng & Kenneth Soo
Used in Stanford's CS102 Big Data (Spring 2017) course. 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, as well as lots of visuals, all of which are colorblind-friendly. 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 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 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.
This Book was ranked at 39 by Google Books for keyword Analytic.
Book ID of Numsense! Data Science for the Layman's Books is T2LeAQAACAAJ, Book which was written byAnnalyn Nghave ETAG "Ps87XmrJKdA"
Book which was published by Annalyn Ng & Kenneth Soo since 2017-03-24 have ISBNs, ISBN 13 Code is 9789811110689 and ISBN 10 Code is 9811110689
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