Machine Learning Introduction for Everyone

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