As you want to know about the Foundations of Machine Learning IIT Bombay the details as under:

Course Description

CS 403/725 provides a broad introduction to machine learning and a mixture of fields of application. The course is designed in a technique to build up from root level.

Topics include:

Supervised Classification (perceptron, support vector machine, loss functions, kernels, neural networks and deep learning)

Supervised Regression (Least square regression, bayes linear regression)

Unsupervised classification (clustering, expectation maximization)

Introduction to learning theory (bias/variance tradeoffs).

The course will discuss the application of machine learning in devanagari script recognition which is a developing field in the machine learning community.

Prerequisites

Basics of computer science including algorithms, data structure, complexity analysis etc.
Basic Linear Algebra (course equivalent to MA 108 for BTech)
Basic likelihood Theory (course equivalent to CS 215 for BTech)

Eligibility

The course is open to all. Courses in Linear Algebra, prospect Theory will be helpful but not mandatory.

Class Timings, Venue and Grading

Time: Tuesdays and Fridays, 2:00-3:30 PM
Venue: LA301
Office hours (for doubt clarifications): Tuesdays and Fridays 10 AM to 12 PM
Credit/Audit Requirements
15% Mid-semester exam
30% End semester exam
15% 2 Quizzes
20% 2 Assignments
20% Project
Audit students have to submit assignments and project.

Here is details of the Foundations of Machine Learning



Contact Address:
IIT Bombay
Powai, Mumbai, Maharashtra 400076
Phone: 022 2572 2545