- Lecturer: Evgeniya Korneva
- Pre-recorder video lectures: see group chat.
- Live practical sessions: Mondays & Fridays 19:00 Moscow time. Recordings are uploaded afterwards.
- Office hours: upon request
- (course) Topics in Linear Algebra: lecture notes + quizes.
- (Youtube playlist) Linear Algebra for Engineers: a series of videos covering the most important concepts.
- (lecture notes) Linear Algebra in 25 Lectures (UC Davis)
- (book) Introduction to Applied Linear Algebra
- (book) Deep Learning - Part I
- (Youtube playlist) Essence of Calculus
- (lecture notes) Introduction to Differential Calculus [pdf]
- (lecture notes) First Semester Calculus [pdf]
- Learn LaTeX in 30 minutes – an Overleaf guide
- A series of great YouTube tutorials:
- Detexify - draw a symbol you are looking for, and this web will give you its latex representation.
- Final exam [pdf][LaTeX template][submission form]
- Deadline: Monday, November 27, 18:59 Moscow time
- Graded assignmnet 4 [pdf][LaTeX template][submission form]
- Deadline: Monday, November 6, 18:59 Moscow time
- Graded assignmnet 3 [pdf][notebook (task 2)][LaTeX template][submission form]
- Deadline: Monday, October 23, 18:59 Moscow time
- Graded assignment 2 [notebook] [submission form]
- Deadline: Monday, October 16, 18:59 Moscow time
- Graded assignment 1 [pdf] [LaTex template] [submission form]
- Deadline: Monday, October 9, 18:59 Moscow time
- Welcome quiz [google form]
- Homework (not mandatory) - getting familiar with LaTeX
- Color vectors [notebook][solutions]
- Linear classifier [notebook][solutions]
- Homework (not graded):
- Word vectors [notebook][solutions]
- lecture 1 quiz [google form]
- watch lecture 2
- Quiz review: norms
- Cosine similarity vs. Euclidian distance
- Gram-Schmidt process
- Homework:
- Quiz: lectures 1 - 3 [google form]
- Method of least squares
- Homework
- (extended to graded assignmnet) Python practice [notebook]
- watch lecture 4
- graded assignment 1 (deadline Monday, October 9 before the class)
- Quiz: [google form]
- Homework:
- graded assignment 2 (deadline Monday, October 16 before the class)
- review eigendecomposition
- Quiz: [google form]
- Multivariate functions
- Chain rule
- Matrix derivatives
- Gradient descent
- Integration techniques