Machine Learning Introduction for Everyone

Overview

What you’ll learn

1. - Compare and contrast artificial intelligence, machine learning, and deep learning
2. - Explain the machine learning models development lifecycle
3. - Differentiate between supervised and unsupervised machine learning
4. - Evaluate classification models using metrics such as accuracy, confusion matrices, precision, and recall