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Syllabus |
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The following syllabus is only indicative of the topics we will be covering. We may not follow this sequence. The teaching style will be illustrative and not enumerative.
| Sl. No. | Topic |
|---|---|
| 1 | Introduction to Mathematical Thinking |
| 2 | A Gentle Introduction to Probability |
| 3 | Random Variables and Expectations |
| 4 | Distributions: Binomial, Bernoulli, Gaussian & Poisson |
| 5 | Markov Chains |
| 6 | Introduction to Matrices |
| 7 | Linearly Independent and Dependent Vectors |
| 8 | Linear Transformations |
| 9 | Matrix Factorization |
| 10 | Applications: Dimensionality Reduction, Recommender Systems, Pagerank, Support Vector Machines |