Numsense! Data Science for the Layman: No Math Added

Numsense! Data Science for the Layman: No Math Added

----------------------------------------<br /><b>Reference text for data science in top universities like Stanford and Cambridge.<br />Sold in over 85 countries and translated into more than 5 languages.</b><br />----------------------------------------<br /><br />Want to get started on data science?<br />Our promise: no math added.<br /><br />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.<br /><br />Popular concepts covered include:<br /><br />- A/B Testing<br />- Anomaly Detection<br />- Association Rules<br />- Clustering<br />- Decision Trees and Random Forests<br />- Regression Analysis<br />- Social Network Analysis<br />- Neural Networks<br /><br />Features:<br /><br />- Intuitive explanations and visuals<br />- Real-world applications to illustrate each algorithm<br />- Point summaries at the end of each chapter<br />- Reference sheets comparing the pros and cons of algorithms<br />- Glossary list of commonly-used terms<br /><br />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.