Mastering Machine Learning: From Basics to Breakthroughs

Machine Learning, Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Markov Models

Created by: Anitha K
Associate Professor, SRM Institute of Science and Technology

Created by: Dr. R. Anto Arockia Rosaline
Associate Professor, SRM Institute of Science and Technology

What Will I Learn?

• Explore the fundamental mathematical concepts of machine learning algorithms
• Apply linear machine learning models to perform regression and classification
• Utilize mixture models to group similar data items
• Develop machine learning models for time-series data prediction
• Design ensemble learning models using various machine learning algorithms

Requirements

• Foundations of Mathematics and Algorithms

Target audience

• Students, data scientists and engineers seeking to solve data-driven problems through predictive modeling