My persional favourite collection of literature on math and computer science
- Computer Vision
- Linear Algebra
- Probability and Statistics
- Combinatorics
- Deep Learning
- Data Science
- Optimization
- Computer Graphics
- Differential Geometry
- Calculus and Analysis
| Lecturer(s) | Title | Links | Comments |
|---|---|---|---|
| Prof Fred Hamprecht (UniHeidelberg) | Computer Vision Foundations Class | YouTube,[Prof Fred Hamprecht website] (https://hci.iwr.uni-heidelberg.de/people/fhamprec) | Comment later on |
| Prof. Faisal Qureshi | Computer Vision | Course WebSite | Computer Vision Basics with Python implementation |
| Prof. Kris Kitani | Computer Vision (Carnegie Mellon) | Course Website | Lecture notes from the course |
| Dr. Mubarak Shah | Computer Vision(2012) | YouTube | |
| Prof. Olga Russakovsky (Princeton University) | Computer Vision | LectureNotes | Olga Russakovsky is one of the authors of ImageNet Challenge |
| Authors | Title | Comments |
|---|---|---|
| Lloyd N. Trefethen, David Bau III | Numerical Linear Algebra | Recommended by Gilbert Strang(MIT) |
| Gene H. Golub, Charles F. Van Loan | Matrix Computation | Recommended by Gilbert Strang(MIT) |
| David Poole | Linear Algebra: A Modern Introduction | AUA textbook |
| Michael Artin | Algebra: Second Edition | First chapter is the proper way to introduce the subject |
| Lecturer(s) | Title | Links | Comments |
|---|---|---|---|
| Gilbert Strang(MIT) | Linear Algebra | MIT Lecture | Course offered by MIT |
| Lecturer(s) | Title | Links | Comments |
|---|---|---|---|
| Joe Blitzstein(Harvard) | Statistics 110: Probability | YouTube, Lecture Course | The course provides a solid introduction to probability theory and ,what is also interesting, into probability history. The professor does a great job in explaining/telling the historical origins of many examples given in the course. |
| Authors | Title | Comments |
|---|---|---|
| Herbert S. Wilf[University of Pennsylvania] | generatingfunctionology | Very easy intro and a nice set of excercises |
| Authors | Title | Comments |
|---|---|---|
| Spivak, Michael | Calculus | Nice introductory course on calculus |
| Lecturer(s) | Title | Links | Comments |
|---|---|---|---|
| Dmitry Vetrov (HSE, Samsung AI) and many others | Deep Bayes Summer Camp | YouTube , Github | Course offered by Scholtech Faculty and the leading russian ML researchers |
| Lecturer(s) | Title | Links | Comments |
|---|---|---|---|
| Ali Ghodsi | Data Visualization | YouTube | Course offered by The University of Waterloo |
| Alexander Novikov, Daniil Polykovskiy (Higher School of Economics) | Bayesian Methods for Machine Learning | Coursera | Course offered at HSE, nice explanation of EM algorithm |
| Lecturer(s) | Title | Links | Comments |
|---|---|---|---|
| Michel Bierlaire(EPFL) | Descent methods | YouTube | Very nice explanation of Arminjo conditions |
| Ryan Tibshirani (Carnegie Mellon University) | Convex Optimization: Fall 2019 | YouTube , CMU Course | Review Later |
| Authors | Title | Comments |
|---|---|---|
| Dimitris Bertsimas | Introduction to Linear Optimization | The main textbook used in most of the courses, also a great intuitive explaination of Simplex algorithm |
| Lecturer(s) | Title | Links | Comments |
|---|---|---|---|
| Dr. C.-K. Shene(Michigan Technological University) | Introduction to Computing with Geometry | Lecture Notes | Nice Section on B-Spline/Bezier Curves |
| Lecturer(s) | Title | Links | Comments |
|---|---|---|---|
| Дынников И. А (Профе́ссор Росси́йской акаде́мии нау́к) | Классическая дифференциальная геометрия | YouTube,Lecture Notes | Recommeded Literature: Manfredo p. do carmo Differential Geometry of curves and surfaces, Норден А.П. Краткий курс дифференциальной геометрии |
| Authors | Title | Comments |
|---|---|---|
| Attila M´at´e (Brooklyn College of the City University of New York) | The Frenet–Serret formulas | Nice and clear derivation of Frenet-Serret formulas |