Overview

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. 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.