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ml-mipt:MIPT的开放式机器学习课程
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2021-04-28
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MIPT的机器学习 本课程旨在向学生介绍机器学习和人工智能的现代状态。 它的设计时间为一年(在MIPT中为期两个学期)-大约2 * 15的讲座和研讨会。 所有学习材料都可以在此处获得,课程中考虑的主题的完整列表列在program_*.pdf文件中 有关当前启动的组织信息可在 储存库结构 在master分支上存储了前期材料,以提供快速而全面的概述 目前正在发布的有关basic和advanced分支机构的材料的信息 标签(例如spring_2019 )包含先前的发布材料以方便使用 视频讲座 目前所有的讲课材料都是俄语 [ru]高级曲目(更新)(2020年秋季): , [ru]基本曲目(2020年Spring,更新): , [ru]高级曲目(2019年秋季): , [ru]基本曲目(2019年Spring): 先决条件 我们希望我们的学生掌握以下方面的基本知识: 微积分,尤其
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ml-mipt:MIPT的开放式机器学习课程 (276个子文件)
medical.csv 7.78MB
forest_dataset.csv 1.23MB
online_shoppers_intention.csv 1.02MB
spam.csv 492KB
white_wine_preprocessed.csv 345KB
student-por.csv 67KB
train.csv 60KB
car_data.csv 57KB
student-mat.csv 41KB
energy_efficiency.csv 35KB
test.csv 28KB
automobile_dataset.csv 25KB
glass.csv 10KB
gender_submission.csv 3KB
convolution.gif 569KB
pooling.gif 55KB
0_scoring.gif 3KB
.gitignore 1KB
week04_positional_encoding_carriers.ipynb 3.52MB
week05_extra_visualization_and_instability.ipynb 2.78MB
week04_complete_EDA.ipynb 1.04MB
week04_extra_pictures_svd.ipynb 975KB
week07_feature_importance_exercises.ipynb 829KB
week15_VAE_practice.ipynb 816KB
homework4_convolutional_cvae.ipynb 786KB
week02_linear_regression.ipynb 735KB
week05_decision_trees.ipynb 500KB
week01_knn_practice.ipynb 412KB
week01_simple_tools.ipynb 373KB
vanishing_grad_example.ipynb 273KB
plot_compare_methods.ipynb 271KB
week02_extra_data_preprocessing_example_full.ipynb 255KB
week02_extra_probabilistic_approach_and_multicollinearity.ipynb 225KB
week12_cnn_seminar.ipynb 216KB
Lab1_part2_SVM.ipynb 215KB
week05_Intro_to_topic_modeling.ipynb 131KB
Lab1_NLP_part_2.ipynb 128KB
week09_nn_from_scratch.ipynb 113KB
week02_extra_data_preprocessing_example.ipynb 95KB
week05_BERT_Fine_Tunning.ipynb 89KB
week03_logistic_regression.ipynb 76KB
naive-bayes-spam-filtering.ipynb 69KB
week08_qlearning_practice.ipynb 67KB
week03_seq2seq_for_NMT.ipynb 49KB
week03_seq2seq_NMT_no_bpe.ipynb 48KB
Lab2_Atari_DQN.ipynb 45KB
homework_modules.ipynb 44KB
Lab1_part1_bagging.ipynb 41KB
week06_extras_practice_stacking_blending.ipynb 37KB
Homework_1_three_headed_network.ipynb 36KB
week11_RL_for_seq2sec.ipynb 34KB
week12_object_detection_practice.ipynb 33KB
week07_MDP_practice.ipynb 33KB
homework_test_modules.ipynb 29KB
week02_CNN_for_texts.ipynb 27KB
week10_intro_to_pytorch.ipynb 27KB
Lab2_DQN_debug.ipynb 25KB
Lab2_Atari_A2C.ipynb 25KB
homework3_qlearning.ipynb 24KB
HW1_kNN_and_Logistic_regression.ipynb 24KB
week08_TextClassification_example_and_challenge.ipynb 23KB
week06_Crossentropy_method.ipynb 22KB
Lab1_NLP_part_1.ipynb 22KB
week11_seq2seq_rnn_practice.ipynb 20KB
week05_extra_trees_vs_linear_models.ipynb 19KB
week03_extra_image_classifier.ipynb 19KB
homework2_Attention_in_seq2seq.ipynb 19KB
week06_gradient_boosting.ipynb 18KB
week13_style_transfer.ipynb 18KB
week01_fun_with_embeddings.ipynb 17KB
week14_quantization_practice_additional.ipynb 15KB
week09_approximate_Q_learning.ipynb 15KB
week10_Reinforce_practice.ipynb 13KB
Lab3_DL_part3.ipynb 13KB
week03_extra_Attention_basics.ipynb 11KB
homework_main-basic.ipynb 10KB
Lab2_DL_part2.ipynb 10KB
homework2_texts.ipynb 10KB
Lab1_part3_boosting.ipynb 7KB
week04_extra_multiclass_strategies_independent_seatwork.ipynb 7KB
week06_gym_interfaces_example.ipynb 6KB
week06_optional_project.ipynb 6KB
homework_differentiation.ipynb 5KB
homework_main-advanced.ipynb 4KB
Lab2_DL_part1.ipynb 2KB
waiting.jpeg 40KB
simpsons.jpg 268KB
mipt.jpg 186KB
cat_dog_sota.jpg 153KB
img1.jpg 77KB
mortal_combat.jpg 51KB
ft.jpg 48KB
img3.jpg 19KB
img2.jpg 16KB
data_preprocessed.json 147KB
LICENSE 1KB
extra_materials.md 7KB
README.md 3KB
README.md 2KB
README.md 1KB
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