Machine Learning Guide

Machine learning consists of three steps: prediction, error evaluation, and learning, implemented by training algorithms on large datasets to build models that can make decisions or classifications. The primary categories of machine learning algorithms are supervised, unsupervised, and reinforcement learning, each with distinct methodologies for learning from data or experience. Links Notes and resources at ocdevel.com/mlg/4 Try a walking desk stay healthy & sharp while you learn & code The Role of Machine Learning in Artificial Intelligence Artificial intelligence includes subfields such as reasoning, knowledge representation, search, planning, and learning. Learning connects to other AI subfields by enabling systems to improve from mistakes and past actions. The Core Machine Learning Process The machine learning process follows three steps: prediction (or inference), error evaluation (or loss calculation), and training (or learning). In an example such as predicting chess moves, a move is ma