Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to recognize human faces, recommend music and movies, and drive autonomous robots).This course covers the theory and practical algorithms for machine learning from a variety of perspectives.We cover topics such as Bayesian networks, decision tree learning, Support Vector Machines, statistical learning methods, unsupervised learning and reinforcement learning.
Course | DATA SCIENCE |
Duration | 1 Month |
Demo Class | Yes |
Fees | 8,000/- |