Numsense! Data Science for the Layman: No Math Added

Numsense! Data Science for the Layman: No Math Added

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