Contents

• What machine learning is and how it is related to statistics and data analysis
• How machine learning uses computer algorithms to search for patterns in data
• How to use data patterns to make decisions and predictions with real-world examples from healthcare involving genomics and preterm birth
• How to uncover hidden themes in large collections of documents using topic modeling
• How to prepare data, deal with missing data and create custom data analysis solutions for different industries
• Basic and frequently used algorithmic techniques including sorting, searching, greedy algorithms and dynamic programming