Blog (mostly math)

Markov Chains

Ref: “Discrete-Time Markov Chains and Monte Carlo Methods” by Jem Corcoran. Link to the Course: Link. ROUGH NOTES (!) Updated: 3/2/26 A stochastic process is a time indexed collection of random variables. For example, ${ X _0, X _1, X _2 \ldots . }$ For now, we will consider discrete time and discrete random variables. The random variable... Read more

Lebesgue Integral

Ref: “Introduction to Hilbert Spaces” by Debnath, Mikusinski. ROUGH NOTES (!) Updated: 29/01/26 \[{ \underline{\textbf{Lebesgue Integral}} }\] Sections: Read more

CS-1 DSA-1

Ref: CU Boulder Coursera courses on Computer Science. Link to CU Boulder Coursera page: Link. ROUGH NOTES (!) Updated: 29/1/26 Course-1. DSA-1. Algorithms for Searching, Sorting, Indexing. Link to Coursera course: Link Read more

Business-2 Finance

Ref: UPenn Coursera courses on Business. Link to UPenn Coursera page: Link. Link to UPenn MBA curriculum: Link. Link to UPenn Finance courses: Link. ROUGH NOTES (!) Updated: 16/1/26 Course-1: Introduction to Finance Instructor: Prof. Jessica Wachter. Sections for “Intro to Finance”: [Net Present Value] [Back to top] Read more

AI-1 Machine Learning

Ref: Deeplearning.ai Coursera courses on Machine Learning. Link to Deeplearning.ai Coursera page: Link. Link to Stanford AI curriculum: Link. ROUGH NOTES (!) Updated: 16/1/26 Machine Learning Specialization Link to Machine Learning Specialization: Link. Read more