ML Taxonomy 101

This conference session provides a comprehensive overview of machine learning, starting with its taxonomy and foundational metrics like regression, clustering, accuracy, and F1 score. It includes a hands-on demonstration using Scikit-learn, featuring RandomForestClassifier and cross-validation techniques on the Iris dataset. Participants will also uncover real-world ML applications such as NLP, computer vision, anomaly detection, and emerging generative AI tools. The session concludes with...