# Linear Algebra for Data Science

### A mini-course in Linear Algebra for Data Science

With references and exercises from the following textbooks:

Session Notes Session Homework Lecture recording
Session 1 1.1 (Nicholson): 1b, 2b, 2c, 4, 6, 11, 13
(for 2b-c, also write the solutions as a sum of a displacement to the solutions set and a displacement along the solution set)
Session 2 1.2 (Nicholson): 1, 2a, 2b, 2d, 5d, 6b, 9b, 9f
1.5 (Fioresi): 2, 4
1.6 (Fioresi): 2.3, 3
Session 3 1.3 (Nicholson): 1, 3b, 3c, 5a
2.1 (Nicholson): 2h, 7, 4c, 24
2.2 (Nicholson): 1a, 2a, 3b, 4b, 9
2.3 (Nicholson): 1b, 4, 7c, 9, 19, 20, 26, 30, 21
Session 4 2.5 (Nicholson): 1, 2, 3, 6a, 8d, 9, 10, 14, 20
7.8 (Fioresi): 4, 7
Session 5 3.1 (Nicholson): 1d, 1i, 5b, 7a, 8b, 9, 23
3.2 (Nicholson): 2f, 3, 4, 10b, 10c, 10g
Session 6 3.1 (Nicholson): 1b, 8c, 9b, 22a, 27, 28
6.1 (Nicholson): 1, 2, 4, 6b, 6c, 10
7.7 (Fioresi): 1
7.8 (Fioresi): 6
2.5 (Fioresi): 1, 2
2.6 (Fioresi): 1iii, 1v, 2, 3, 4, 8
Session 7 5.1 (Nicholson): 1c, 1f, 2c, 3b, 10, 11, 17
5.2 (Nicholson): 1b
6.2 (Nicholson): 1a, 1c, 1f, 2b, 2d, 2e, 4, 5, 6b, 7b, 7c, 8, 14
6.3 (Nicholson): 1b, 2c, 4b
3.3 (Fioresi): 2, 3
3.4 (Fioresi): 12, 14
Session 8 5.2 (Nicholson): 3c, 4a, 4e, 6d
5.4 (Nicholson): 1b, 2b, 3, 4, 6, 7a
4.4 (Fioresi): 1, 3
4.5 (Fioresi): 4, 9, 16, 20
Session 9 6.3 (Nicholson): 6b, 6c, 6d, 7c, 7d, 8, 11a
9.2 (Nicholson): 1b, 1c, 3
Session 10 7.1 (Nicholson): 1d, 2b, 2d, 3c, 3f, 4d, 9, 12, 13
7.3 (Nicholson): 1b, 1d, 26
5.8 (Fioresi): 1,2
5.9 (Fioresi): 1, 6ii, 10
Session 11 7.3 (Nicholson): 3, 4(b,d), 5c, 6(a,c), 11, 12, 14, 18
9.2 (Nicholson): 1b, 1c, 3, 5a, 9d
5.8 (Fioresi): 4,
5.9 (Fioresi): 11
Session 12 7.2 (Nicholson): 1b, 2b, 2f, 6(c,i,l), 10, 11, 15
7.3 (Nicholson): 1b, 1d, 26
8.4 (Fioresi): 1, 2, 7
8.5 (Fioresi): 2
5.8 (Fioresi): 3
5.9 (Fioresi): 7(i, iv), 8, 12, 14, 19, 20
Session 13 3.3 (Nicholson): 1b, 1g, 3, 6, 8b, 27
9.3 (Fioresi): 1, 2, 3, 4
9.4 (Fioresi): 1, 4, 7, 11