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Open Machine Learning course
| Date | Stars |
|---|---|
| 2026-07-24 | 3503 |
| 2026-07-25 | 3504 |
| 2026-07-28 | 3509 |
| 2026-07-30 | 3509 |
| 2026-07-31 | 3511 |
| 2026-08-06 | 3516 |
Today
+5 stars today
This week
+7 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.20%/day
[**Ссылка на ветку ML тренировок Яндекса 2023**](https://github.com/girafe-ai/ml-course/tree/23f_yandex_ml_trainings) # Machine Learning course First semester of girafe-ai Machine Learning course ## Recordings and materials | Date | Content | Lecture video | Slides | WarmUp test | HW | Deadline | Comments | |:------:|:-----------------------|:------------:|:------------:|:-----------------------:|:------------------------:|:----------------------:|:----------------------:| | 05.09.2022 | Week01. Intro, Naive Bayes and kNN. | [Запись лекции 2021](https://youtu.be/74Kd-rNxSm0) [Запись семинара 2021](https://youtu.be/bzCwHkO-YEk)| [Слайды](week0_01_naive_bayes/lect001_intro_knn_naive_bayes.pdf) | | [Assignment 01: kNN](homeworks/assignment0_01_knn) | 23.59 AOE, 03.10.2022 | *По техническим причинам запись лекции 2022 года не велась* | 12.09.2022 | extra Week. Linear algebra recap. | [Запись лекции](https://youtu.be/vKfdtHnXVEY?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM) [Запись семинара 2022](https://youtu.be/Ha3pJJnt5YA?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM)| [Слайды](week0_00_linear_algebra_recap/lecture00-linear_algebra_recap.pdf) | | | | | | 19.09.2022 | Week02. Linear Regression. | [Запись лекции](https://youtu.be/imzlM4jRbD4?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM) [Запись семинара 2022](https://youtu.be/LLGLeM3JKDQ?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM) | [Слайды](week0_02_linear_reg/lect002_linear_regression.pdf) | | [Assignment 02: Linear Regression](homeworks/assignment0_02_lin_reg) | 23.59 AOE, 10.10.2022 | | | 26.09.2022 | Week03. Linear Classification. | [Запись лекции](https://youtu.be/db1XU_WJHFs?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM) [Запись семинара 2022](https://youtu.be/vSeETg1two8) | [Слайды](week0_03_linear_classification/msai-ml_s21_lect003_logistic_regression.pdf) | | [Lab01: ML pipeline](https://github.com/girafe-ai/ml-course/tree/22f_basic/homeworks/lab01_ml_pipeline) | 23.59 AOE 10.11.2022 | | 03.10.2022 | Week04. SVM, PCA. | [Запись лекции](https://youtu.be/mlA-XxC9Ugg?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM) [Запись семинара 2022](https://youtu.be/z-JqKoyHHRI?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM) | [Слайды](week0_04_svm_and_pca/lect004_svm_pca.pdf) | | [Assignment 03: SVM kernel](https://github.com/girafe-ai/ml-course/tree/22f_basic/homeworks/assignment0_03_svm) | 23.59 AOE, 24.10.2022 | | 10.10.2022 | Week05. Trees and ensembles | [Запись лекции](https://youtu.be/kbNZsQj2eHk) | [Слайды](week0_05_trees_and_ensembles/lect005_trees_and_ensembles_style.pdf) | | [Optional assignment 04: Tree from scratch](https://github.com/girafe-ai/ml-course/tree/22f_basic/homeworks/assignment0_04_tree) | 23.59 AOE, 22.12.2022 | Вместо семинара проходила контрольная работа | | 17.10.2022 | Week06. Gradient boosting | [Запись лекции](https://youtu.be/Y97xrRiLY1Q) [Запись семинара](https://youtu.be/4vo39B6M270) | [Слайды](week0_06_boosting/week0_06_gradient_boosting.pdf) | | | | | | 24.10.2022 | Week07. Разбор теста | [Запись разбора](https://youtu.be/YiO1N6yVJcg) | | | | | Вместо лекции были тест и разбор. | | 31.10.2022 | Week08. Intro into Deep Learning | [Запись лекции](https://youtu.be/G--msc2IR-Y) [Запись семинара](https://youtu.be/0WMAfRuFHy8) | [Слайды](https://github.com/girafe-ai/ml-course/blob/22f_basic/week0_07_intro_to_DL/lect007_intro_to_dl_style.pdf) | | | | | | 07.11.2022 | Week09. Backpropogation | [Запись семинара](https://youtu.be/HGk5xQ0azdo) | [Слайды]() | | | | Лекция не велась по причине болезни преподавателя, однако был проведён дополнительный семинар по backpropogation | | 14.11.2022 | Week10. Dropout and Batchnorm | [Запись лекции](https://youtu.be/UtEV_ILJTA0) [Запись семинара](https://youtu.be/tq-mmdsW5QI) | [Слайды](https://github.com/girafe-ai/ml-course/blob/22f_basic/week0_08_dropout_batchnorm/lect008_deeplearning_part_2_style.pdf) | | | |
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ced18367f58acfb6, topic:deep-learning, topic:pytorch
matched fp:ced18367f58acfb6, topic:computer-vision
matched fp:ced18367f58acfb6, topic:natural-language-processing
matched fp:ced18367f58acfb6, topic:course, name:course, desc:course