Numsense! Data Science for the Layman: No Math Added -- Kenneth Soo

<p><b>Reference text in top universities like Stanford and Cambridge</b><br><b>Sold in over 85 countries, translated into more than 5 languages</b></p><br>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. <p/>Popular concepts covered include: <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>Features: <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>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.<br><br><b>Author:</b> Kenneth Soo, Annalyn Ng<br><b>Publisher:</b> Annalyn Ng & Kenneth Soo<br><b>Published:</b> 03/24/2017<br><b>Pages:</b> 146<br><b>Binding Type:</b> Paperback<br><b>Weight:</b> 0.62lbs<br><b>Size:</b> 9.00h x 6.00w x 0.38d<br><b>ISBN:</b> 978981111