This course provides a comprehensive overview of machine learning fundamentals, including key concepts, algorithms, and data handling techniques. Learners will gain the skills to understand, implement, and evaluate various machine learning models for diverse real-world problems.
A curriculum designed to transform your perspective and technical skill from day one.
What is Machine Learning?, ML Basics and Key Concepts, ML's Impact on the World
Supervised and Unsupervised Learning, Deep Learning and Reinforcement Learning, Data Types and Data Handling
Model Representation and Hypothesis Space, Model Training and Data Generation, Model Evaluation and Prediction...
Model Parameters and Notation, Probabilistic Models and Data Generation, Modeling with Regression and Classification...
Structured learning to take you from hobbyist to professional.
Free
