About the course
This course aims to provide a broad overview of modern algorithms in ML, so that engineers may apply these judiciously. Towards the end, the course will focus on broad heuristics governing basic ML algorithms in the context of specific engineering applications. Students will also be trained to implement these methods utilizing open source packages such as TensorFlow.
The course content is free, the certification requires an in-person examination, the exam fee is INR 1100.
Who is the course for?
The course is beneficial for postgraduate students in all engineering and science disciplines. Mature senior undergraduate students will also find it useful.
- Mathematical Basics
- Computational Basics
- Linear and Logistic Regression
- Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Classical Techniques
- Advanced Techniques
Eligibility & Selection Criteria
Students should have familiarity with Multivariable Calculus, Linear Algebra, Probability, Statistics and should be comfortable with programming in Python.