https://producthunt.programnotes.cn/en/tags/linear-regression/ Recent content in Linear Regression on Producthunt daily Hugo -- gohugo.io en Fri, 11 Apr 2025 15:27:06 +0800 https://producthunt.programnotes.cn/en/p/ml-course/ Fri, 11 Apr 2025 15:27:06 +0800 https://producthunt.programnotes.cn/en/p/ml-course/ <img src="https://images.unsplash.com/photo-1538558940285-e76825003c99?ixid=M3w0NjAwMjJ8MHwxfHJhbmRvbXx8fHx8fHx8fDE3NDQzNTY0MTZ8&ixlib=rb-4.0.3" alt="Featured image of post ml-course" /><h1 id="girafe-aiml-course"><a class="link" href="https://github.com/girafe-ai/ml-course" target="_blank" rel="noopener" >girafe-ai/ml-course</a> </h1><p><a class="link" href="https://github.com/girafe-ai/ml-course/tree/23f_yandex_ml_trainings" target="_blank" rel="noopener" ><strong>Ссылка на ветку ML тренировок Яндекса 2023</strong></a></p> <h1 id="machine-learning-course">Machine Learning course </h1><p>First semester of girafe-ai Machine Learning course</p> <h2 id="recordings-and-materials">Recordings and materials </h2><table> <thead> <tr> <th style="text-align: center">Date</th> <th style="text-align: left">Content</th> <th style="text-align: center">Lecture video</th> <th style="text-align: center">Slides</th> <th style="text-align: center">WarmUp test</th> <th style="text-align: center">HW</th> <th style="text-align: center">Deadline</th> <th style="text-align: center">Comments</th> </tr> </thead> <tbody> <tr> <td style="text-align: center">05.09.2022</td> <td style="text-align: left">Week01. Intro, Naive Bayes and kNN.</td> <td style="text-align: center"><a class="link" href="https://youtu.be/74Kd-rNxSm0" target="_blank" rel="noopener" >Запись лекции 2021</a> <a class="link" href="https://youtu.be/bzCwHkO-YEk" target="_blank" rel="noopener" >Запись семинара 2021</a></td> <td style="text-align: center"><a class="link" href="week0_01_naive_bayes/lect001_intro_knn_naive_bayes.pdf" >Слайды</a></td> <td style="text-align: center"></td> <td style="text-align: center"><a class="link" href="homeworks/assignment0_01_knn" >Assignment 01: kNN</a></td> <td style="text-align: center">23.59 AOE, 03.10.2022</td> <td style="text-align: center"><em>По техническим причинам запись лекции 2022 года не велась</em></td> </tr> <tr> <td style="text-align: center">12.09.2022</td> <td style="text-align: left">extra Week. Linear algebra recap.</td> <td style="text-align: center"><a class="link" href="https://youtu.be/vKfdtHnXVEY?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM" target="_blank" rel="noopener" >Запись лекции</a> <a class="link" href="https://youtu.be/Ha3pJJnt5YA?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM" target="_blank" rel="noopener" >Запись семинара 2022</a></td> <td style="text-align: center"><a class="link" href="week0_00_linear_algebra_recap/lecture00-linear_algebra_recap.pdf" >Слайды</a></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> </tr> <tr> <td style="text-align: center">19.09.2022</td> <td style="text-align: left">Week02. Linear Regression.</td> <td style="text-align: center"><a class="link" href="https://youtu.be/imzlM4jRbD4?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM" target="_blank" rel="noopener" >Запись лекции</a> <a class="link" href="https://youtu.be/LLGLeM3JKDQ?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM" target="_blank" rel="noopener" >Запись семинара 2022</a></td> <td style="text-align: center"><a class="link" href="week0_02_linear_reg/lect002_linear_regression.pdf" >Слайды</a></td> <td style="text-align: center"></td> <td style="text-align: center"><a class="link" href="homeworks/assignment0_02_lin_reg" >Assignment 02: Linear Regression</a></td> <td style="text-align: center">23.59 AOE, 10.10.2022</td> <td style="text-align: center"></td> </tr> <tr> <td style="text-align: center">26.09.2022</td> <td style="text-align: left">Week03. Linear Classification.</td> <td style="text-align: center"><a class="link" href="https://youtu.be/db1XU_WJHFs?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM" target="_blank" rel="noopener" >Запись лекции</a> <a class="link" href="https://youtu.be/vSeETg1two8" target="_blank" rel="noopener" >Запись семинара 2022</a></td> <td style="text-align: center"><a class="link" href="week0_03_linear_classification/msai-ml_s21_lect003_logistic_regression.pdf" >Слайды</a></td> <td style="text-align: center"></td> <td style="text-align: center"><a class="link" href="https://github.com/girafe-ai/ml-course/tree/22f_basic/homeworks/lab01_ml_pipeline" target="_blank" rel="noopener" >Lab01: ML pipeline</a></td> <td style="text-align: center">23.59 AOE 10.11.2022</td> <td></td> </tr> <tr> <td style="text-align: center">03.10.2022</td> <td style="text-align: left">Week04. SVM, PCA.</td> <td style="text-align: center"><a class="link" href="https://youtu.be/mlA-XxC9Ugg?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM" target="_blank" rel="noopener" >Запись лекции</a> <a class="link" href="https://youtu.be/z-JqKoyHHRI?list=PLJR10EXrBaAv2vPy05qesewHv9JFc8ZjM" target="_blank" rel="noopener" >Запись семинара 2022</a></td> <td style="text-align: center"><a class="link" href="week0_04_svm_and_pca/lect004_svm_pca.pdf" >Слайды</a></td> <td style="text-align: center"></td> <td style="text-align: center"><a class="link" href="https://github.com/girafe-ai/ml-course/tree/22f_basic/homeworks/assignment0_03_svm" target="_blank" rel="noopener" >Assignment 03: SVM kernel</a></td> <td style="text-align: center">23.59 AOE, 24.10.2022</td> <td></td> </tr> <tr> <td style="text-align: center">10.10.2022</td> <td style="text-align: left">Week05. Trees and ensembles</td> <td style="text-align: center"><a class="link" href="https://youtu.be/kbNZsQj2eHk" target="_blank" rel="noopener" >Запись лекции</a></td> <td style="text-align: center"><a class="link" href="week0_05_trees_and_ensembles/lect005_trees_and_ensembles_style.pdf" >Слайды</a></td> <td style="text-align: center"></td> <td style="text-align: center"><a class="link" href="https://github.com/girafe-ai/ml-course/tree/22f_basic/homeworks/assignment0_04_tree" target="_blank" rel="noopener" >Optional assignment 04: Tree from scratch</a></td> <td style="text-align: center">23.59 AOE, 22.12.2022</td> <td style="text-align: center">Вместо семинара проходила контрольная работа</td> </tr> <tr> <td style="text-align: center">17.10.2022</td> <td style="text-align: left">Week06. Gradient boosting</td> <td style="text-align: center"><a class="link" href="https://youtu.be/Y97xrRiLY1Q" target="_blank" rel="noopener" >Запись лекции</a> <a class="link" href="https://youtu.be/4vo39B6M270" target="_blank" rel="noopener" >Запись семинара</a></td> <td style="text-align: center"><a class="link" href="week0_06_boosting/week0_06_gradient_boosting.pdf" >Слайды</a></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> </tr> <tr> <td style="text-align: center">24.10.2022</td> <td style="text-align: left">Week07. Разбор теста</td> <td style="text-align: center"><a class="link" href="https://youtu.be/YiO1N6yVJcg" target="_blank" rel="noopener" >Запись разбора</a></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center">Вместо лекции были тест и разбор.</td> </tr> <tr> <td style="text-align: center">31.10.2022</td> <td style="text-align: left">Week08. Intro into Deep Learning</td> <td style="text-align: center"><a class="link" href="https://youtu.be/G--msc2IR-Y" target="_blank" rel="noopener" >Запись лекции</a> <a class="link" href="https://youtu.be/0WMAfRuFHy8" target="_blank" rel="noopener" >Запись семинара</a></td> <td style="text-align: center"><a class="link" href="https://github.com/girafe-ai/ml-course/blob/22f_basic/week0_07_intro_to_DL/lect007_intro_to_dl_style.pdf" target="_blank" rel="noopener" >Слайды</a></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> </tr> <tr> <td style="text-align: center">07.11.2022</td> <td style="text-align: left">Week09. Backpropogation</td> <td style="text-align: center"><a class="link" href="https://youtu.be/HGk5xQ0azdo" target="_blank" rel="noopener" >Запись семинара</a></td> <td style="text-align: center"><a class="link" href="" >Слайды</a></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center">Лекция не велась по причине болезни преподавателя, однако был проведён дополнительный семинар по backpropogation</td> </tr> <tr> <td style="text-align: center">14.11.2022</td> <td style="text-align: left">Week10. Dropout and Batchnorm</td> <td style="text-align: center"><a class="link" href="https://youtu.be/UtEV_ILJTA0" target="_blank" rel="noopener" >Запись лекции</a> <a class="link" href="https://youtu.be/tq-mmdsW5QI" target="_blank" rel="noopener" >Запись семинара</a></td> <td style="text-align: center"><a class="link" href="https://github.com/girafe-ai/ml-course/blob/22f_basic/week0_08_dropout_batchnorm/lect008_deeplearning_part_2_style.pdf" target="_blank" rel="noopener" >Слайды</a></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> </tr> <tr> <td style="text-align: center">21.11.2022</td> <td style="text-align: left">Week11. Embeddings and seq2seq model</td> <td style="text-align: center"><a class="link" href="https://youtu.be/kUAnB_Leg6E" target="_blank" rel="noopener" >Запись лекции</a> <a class="link" href="https://youtu.be/KOIEozoCQo0" target="_blank" rel="noopener" >Запись семинара</a></td> <td style="text-align: center"><a class="link" href="https://github.com/girafe-ai/ml-course/blob/22f_basic/week0_09_embeddings_and_seq2seq/lect009_Language_models_and_RNN.pdf" target="_blank" rel="noopener" >Слайды</a></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> <td style="text-align: center"></td> </tr> </tbody> </table> <h2 id="prerequisites">Prerequisites </h2><p>Prerequisites are located <a class="link" href="./prerequisites.md" >here</a>.</p> <h2 id="literature">Literature: </h2><ol> <li><a class="link" href="https://academy.yandex.ru/dataschool/book" target="_blank" rel="noopener" >YSDA ML Book</a> (Russian only)</li> <li>Probabilistic Machine Learning: An Introduction; <a class="link" href="https://probml.github.io/pml-book/book1.html" target="_blank" rel="noopener" >English link</a>, <a class="link" href="https://dmkpress.com/catalog/computer/data/978-5-93700-119-1/" target="_blank" rel="noopener" >Русский перевод</a></li> <li>Deep Learning Book: <a class="link" href="https://www.deeplearningbook.org/" target="_blank" rel="noopener" >English link</a>. Первая часть (Part I) крайне рекомендуется к прочтению.</li> </ol> <p>More additional materials are available <a class="link" href="https://github.com/girafe-ai/ml-course/blob/22f_basic/extra_materials.md" target="_blank" rel="noopener" >here</a></p> <h2 id="exam-program">Exam program: </h2><p>Available <a class="link" href="./approximate_program.pdf" >here</a></p> <h2 id="main-authors">Main authors: </h2><ul> <li>Radoslav Neychev</li> <li>Vladislav Goncharenko</li> </ul> <h2 id="contributors">Contributors: </h2><ul> <li>Iurii Efimov</li> <li>Nikolay Karpachev</li> <li>Ivan Provilkov</li> <li>Valery Marchenkov</li> <li>Anastasia Ianina</li> <li>Irina Rudenko</li> <li>Fedor Ryabov</li> </ul> <h2 id="acknowledgements">Acknowledgements: </h2><p>Special thanks to:</p> <ul> <li>Stanislav Fedotov, YSDA for informative discussions, program verification and support.</li> <li>Konstantiv Vorontsov</li> <li>Vadim Strijov for teaching this course teachers</li> <li>Just Heuristic</li> </ul>