Data Science Bookcamp

20 Network-driven supervised machine learning

This section covers

• Using classifiers in supervised machine learning
• Making simple predictions based on similarity
• Metrics for evaluating the quality of predictions
• Common supervised learning methods in scikit-learn

People can learn from real-world observations. In some respects, machines can do the same. Teaching computers to metaphorically understand the world through curated experience is referred to as supervised machine learning. In recent years, supervised machine learning has been all over the news: computers have been taught to predict stock prices, diagnose diseases, and even drive cars. These advancements have been rightly heralded as cutting-edge innovations. Yet, in some ways, the algorithms ...