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 lots of 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
