Introduction to Machine Learning - Intelligence and Learning - Session 3

Explore fundamental machine learning concepts through this comprehensive 3-hour video session covering classification, regression, and recommendation systems. Begin with an introduction to machine learning principles before diving into hands-on coding challenges that demonstrate building a nearest neighbors recommendation engine from scratch. Master linear regression techniques using both ordinary least squares and gradient descent methods, with detailed explanations of the underlying mathematics. Learn essential calculus concepts including the power rule, chain rule, and partial derivatives that form the mathematical foundation of machine learning algorithms. Follow along with practical coding examples and mathematical derivations that bridge theory with implementation, making complex machine learning concepts accessible through step-by-step tutorials and visual demonstrations.