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	<title>Linear Algebra for Data Science (2022) - История изменений</title>
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	<updated>2026-06-06T11:08:35Z</updated>
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		<title>imported&gt;Asryabykin: добавил лекцию 4 и ссылки на будущие лекции 5 и 6</title>
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		<updated>2022-10-22T00:25:13Z</updated>

		<summary type="html">&lt;p&gt;добавил лекцию 4 и ссылки на будущие лекции 5 и 6&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Новая страница&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&amp;lt;!-- =Linear Algebra for Data Science= --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===General information===&lt;br /&gt;
&lt;br /&gt;
One semester course. 6 credits.&lt;br /&gt;
&lt;br /&gt;
Lecturer: [https://www.hse.ru/org/persons/64913 Dmitri Piontkovski] (Дмитрий Игоревич Пионтковский)&lt;br /&gt;
&lt;br /&gt;
Class teacher: [https://www.hse.ru/org/persons/35919212 Vsevolod Chernyshev] (Всеволод Леонидович Чернышев)&lt;br /&gt;
&lt;br /&gt;
[https://t.me/+z7HRpA1QZvViMWVi Telegram channel]&lt;br /&gt;
&lt;br /&gt;
===Schedule===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Type !! Day of week !! Time !! Place&lt;br /&gt;
|-&lt;br /&gt;
| Lectures || Friday || 18:10-19:30 || S224, Pokrovsky Blvd. 11 (Покровский б-р 11)&lt;br /&gt;
|-&lt;br /&gt;
| Seminars || Friday || 19:40-21:00 || S224, Pokrovsky Blvd. 11 (Покровский б-р 11)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Grading system===&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;&amp;lt;span style=&amp;quot;color:red&amp;quot;&amp;gt;Final Grade&amp;lt;/span&amp;gt;&amp;#039;&amp;#039;&amp;#039; = 0.5 * Test1 + 0.5 * Test2 + Bonus (for a talk, ≤ 5) + Bonus (for classes, ≤1..2)&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;&amp;lt;span style=&amp;quot;color:green&amp;quot;&amp;gt;Tests&amp;lt;/span&amp;gt;&amp;#039;&amp;#039;&amp;#039;: unique for everyone&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;&amp;lt;span style=&amp;quot;color:green&amp;quot;&amp;gt;Topics&amp;lt;/span&amp;gt;&amp;#039;&amp;#039;&amp;#039; on which you can prepare a talk: on your own (based on your experience) or from list: &amp;#039;&amp;#039;will be published soon&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
===Homeworks===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Type!! Date !! Topics !! Download materials !! Read Materials !! Tasks !! Time to completion !! Deadline !! Download Solution !! Read Solution&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;span style=&amp;quot;color:green&amp;quot;&amp;gt;Optional&amp;lt;/span&amp;gt; || 14.09.22 || Pseudoinverse matrices. Skeletonization. || [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/assignments/hw1.pdf Click] || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/assignments/hw1.pdf Click] || 4 || 15-30 min || 16.09.22 || [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/assignments/homeworks1_linear_algebra_for_ds.pdf Click] || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/assignments/homeworks1_linear_algebra_for_ds.pdf Click]&lt;br /&gt;
|-&lt;br /&gt;
| Soon || soon || || || || || || &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Lectures===&lt;br /&gt;
All lectures you will find [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/lectures_linear_algebra_for_ds.pdf here]&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Lecture !! Date !! Topics !! Download materials !! Read Materials !! Pages !!  Reading time !! GitHub (for changes) &lt;br /&gt;
|-&lt;br /&gt;
| Lecture 1 || 09.09.22 || Distinctive features of applied linear algebra. &amp;lt;br&amp;gt; Problems with real data. Pseudoinverse matrices. Skeletonization. || [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture1_linear_algebra_for_ds.pdf Click] || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture1_linear_algebra_for_ds.pdf Click] || 3p || 7 min read || [https://github.com/addicted-by/hse_courses/tree/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture1.tex Click]&lt;br /&gt;
|-&lt;br /&gt;
| Lecture 2 || 16.09.22 || Pseudosolutions and its applications. Linear Regression. || [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture2_linear_algebra_for_ds.pdf Click] || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture2_linear_algebra_for_ds.pdf Click] || 3p (v1.0) || 10 min read || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture2.tex Click]&lt;br /&gt;
|-&lt;br /&gt;
| Lecture 3 || 23.09.22 || Approximation. Interpolation problem. Polynomial interpolation.&amp;lt;br&amp;gt; Hermitian interpolation. Splines. Bézier curves and splines.|| [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture3_linear_algebra_for_ds.pdf Click] || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture3_linear_algebra_for_ds.pdf Click] || 5(v1.5) || 10 min read || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture3.tex Click]&lt;br /&gt;
|-&lt;br /&gt;
| Lecture 4 || 07.10.22 || Metric axioms. Metric spaces. Norms. Normed linear spaces.|| [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture4_linear_algebra_for_ds.pdf Click] || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture4_linear_algebra_for_ds.pdf Click] || 4(v1.5) || 15 min read || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture4.tex Click]&lt;br /&gt;
|-&lt;br /&gt;
| Lecture 5 || 14.10.22 || Norms. Minkovski&amp;#039;s theorem. Euclidian space.|| [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture5_linear_algebra_for_ds.pdf Click] || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture5_linear_algebra_for_ds.pdf Click] || 1(v0) || 12 min read || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture5.tex Click]&lt;br /&gt;
|-&lt;br /&gt;
| Lecture 6 || 21.10.22 || Chebyshev polynomials of the first kind. Chebyshev polynomials of the second kind.|| [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture6_linear_algebra_for_ds.pdf Click] || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture6_linear_algebra_for_ds.pdf Click] || 1(v0) || 12 min read || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/lectures/lecture6.tex Click]&lt;br /&gt;
|-&lt;br /&gt;
| Lecture 7 || soon || soon || soon || soon || soon || soon || soon&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Seminars===&lt;br /&gt;
All seminars you will find [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/seminars_linear_algebra_for_ds.pdf here]&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Seminar!! Date !! Topics !! Download materials !! Read Materials !! Pages !!  Reading time !! GitHub (for changes) &lt;br /&gt;
|-&lt;br /&gt;
| Seminar 1 || 09.09.22 || Pseudoinverse matrices. Skeletonization. Singular value decomposition (SVD) || [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/seminars/seminar1_linear_algebra_for_ds.pdf Click] || [https://github.com/addicted-by/hse_courses/blob/main/1st_year/term1/module1/linear_algebra_data_science/seminars/seminar1_linear_algebra_for_ds.pdf Click] || 3p || 9 min read || [https://github.com/addicted-by/hse_courses/tree/main/1st_year/term1/module1/linear_algebra_data_science/seminars/seminar1.tex GitHub link]&lt;br /&gt;
|-&lt;br /&gt;
| Seminar 2 || 16.09.22 || || || || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===[https://github.com/addicted-by/hse_courses/tree/main/1st_year/term1/module1/linear_algebra_data_science/references/references.pdf References]===&lt;br /&gt;
====&amp;#039;&amp;#039;&amp;#039;&amp;lt;span style=&amp;quot;color:red&amp;quot;&amp;gt;Main literature&amp;lt;/span&amp;gt;&amp;#039;&amp;#039;&amp;#039;====&lt;br /&gt;
* [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/references/%D0%A2%D1%8B%D1%80%D1%82%D1%8B%D1%88%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2_%D0%BC%D0%B0%D1%82%D1%80%D0%B8%D1%87%D0%BD%D1%8B%D0%B9_%D0%B0%D0%BD%D0%B0%D0%BB%D0%B8%D0%B7_%D0%B8_%D0%BB%D0%B8%D0%BD%D0%B5%D0%B9%D0%BD%D0%B0%D1%8F_%D0%B0%D0%BB%D0%B3%D0%B5%D0%B1%D1%80%D0%B0.pdf Тыртышников Е. Е. Матричный анализ и линейная алгебра. Учебное пособие. (2007)] &lt;br /&gt;
* [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/references/%D0%91%D0%B5%D0%BA%D0%BB%D0%B5%D0%BC%D0%B8%D1%88%D0%B5%D0%B2_%D0%B4%D0%BE%D0%BF%D0%BE%D0%BB%D0%BD%D0%B8%D1%82%D0%B5%D0%BB%D1%8C%D0%BD%D1%8B%D0%B5_%D0%B3%D0%BB%D0%B0%D0%B2%D1%8B_%D0%BB%D0%B8%D0%BD%D0%B5%D0%B9%D0%BD%D0%BE%D0%B9_%D0%B0%D0%BB%D0%B3%D0%B5%D0%B1%D1%80%D1%8B.pdf Беклемишев Д.В., Дополнительные главы линейной алгебры, СПБ, изд. Лань, 2008]&lt;br /&gt;
* [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/references/%D0%A8%D0%B5%D0%B2%D1%86%D0%BE%D0%B2_%D0%BB%D0%B8%D0%BD%D0%B5%D0%B9%D0%BD%D0%B0%D1%8F_%D0%B0%D0%BB%D0%B3%D0%B5%D0%B1%D1%80%D0%B0.pdf Шевцов Г.С. Линейная алгебра: теория и прикладные аспекты: Учеб. пособие. М.: Финансы и статистика, 2003 (или другой год издания). 576 с]&lt;br /&gt;
* [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/references/Oliver_applied_linear_algebra.pdf Olver, P.J., and Shakiban, C. Applied linear algebra. 2nd edition. Springer, 2018]&lt;br /&gt;
* [https://github.com/addicted-by/hse_courses/raw/main/1st_year/term1/module1/linear_algebra_data_science/references/Horn_matrix_analysis.pdf R. Horn and C. Jonson. Matrix analysis. 2nd edition. Cambridge Univ. Press, 2013]&lt;br /&gt;
====&amp;#039;&amp;#039;&amp;#039;&amp;lt;span style=&amp;quot;color:green&amp;quot;&amp;gt;Additional literature&amp;lt;/span&amp;gt;&amp;#039;&amp;#039;&amp;#039;====&lt;br /&gt;
* Винберг Э.Б., Курс алгебры, М., изд. МГУ, 2002 (и последующие издания);&lt;br /&gt;
* Бахвалов Н., Жидков Н., Кобельков Н., Численные методы, М., изд. Бином, 2003 (или другой год издания);&lt;br /&gt;
* Колмогоров А.Н., Фомин С.В., Элементы теории функций и функционального анализа, М., изд. Наука, 1976 (или другой год издания);&lt;br /&gt;
* Aleskerov F., Ersel H., Piontkovski D. Linear Algebra for Economists. Berlin—Heidelberg, Springer, 2011;&lt;br /&gt;
* Bryan, K. and Leise, T., 2006. The $25,000,000,000 eigenvector: The linear algebra behind Google. SIAM review, 48(3), pp.569-581;&lt;br /&gt;
* D. Cox, J. Little, and D. O’Shea. Ideals, varieties, and algorithms: an introduction to computational algebraic geometry and commutative algebra. Springer Science &amp;amp; Business Media, 2013.&lt;br /&gt;
&lt;br /&gt;
===Contacts===&lt;br /&gt;
[https://t.me/gumanitariinenuzhny Polina Moskvicheva]&lt;br /&gt;
&lt;br /&gt;
[https://t.me/addicted_by Aleksey Ryabykin]   [https://github.com/addicted-by Github]&lt;/div&gt;</summary>
		<author><name>imported&gt;Asryabykin</name></author>
	</entry>
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