asu2304.github.io

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Personal notes blog of Ashutosh Patidar, served by GitHub Pages.

Revision notes for Probability & Statistics, Linear Algebra, Machine Learning, SQL and Deep Learning. Revision notes on hot industry topics such as RAG and AI agents are coming soon.

Revision

• Probability and Statistics Revision: coming soon.
• Linear Algebra (source: Gilbert Strang notes): 37 pages on MIT 18.06 (Gilbert Strang), read through an ML / DL / AI lens, with math rendered by MathJax.
  • Prologue: PCA (IITM MLT L5)
  • Lecture 1: The Geometry of Linear Equations, then Lectures 2–34 in order
  • Revision notes & formula sheet
• Machine Learning Revision (source: Arun Rajkumar, DA5400): one interactive page per lecture (L13–L35), with demos and links to each lecture video.
  • Clustering: L13 Introduction to clustering to L18 Choosing K
  • Estimation: L19 Introduction to estimation to L26 The EM algorithm
  • Regression: L27 Supervised learning to L35 Cross-validation
• SQL for Data Science (source: Nitish Singh, CampusX): interactive notes on the Complete SQL Course For Data Science video, one page per chapter, with quizzes and an in-browser SQL lab.
  • 1 Introduction to 7 DDL SQL Queries; then 8 DML, 9 GROUP BY, 10 CASE, 11 Joins and 12 Subqueries
  • Practice: P1 Top 10 most common SQL interview queries (CampusX Live 1)
• Deep Learning Revision (source: Mitesh Khapra, CS6910): comprehensive revision notes from the lectures of CS6910. Coming soon.