Машинное обучение и Большие данные

Методы

• Теорема Байеса
• Функции ошибки и регуляризация
• Расстояние Кульбака-Лейблера и перекрестная энтропия
• Градиентный спуск: основы
• Граф вычислений и дифференцирование на нем
• Перцептрон
• Глубокие нейронные сети
• Классификация
• Кластеризация
• Регрессия
• Машинное зрение
• Метод к-средних
• word2vec

Библиотеки

• NumPy - https://www.numpy.org/
• SciPy - https://www.scipy.org/
• Pandas - https://pandas.pydata.org/
• Scikit-learn - https://scikit-learn.org/stable/
• Matplotlib - https://matplotlib.org/
• Gensim - https://radimrehurek.com/gensim/
• H2O - https://github.com/h2oai/h2o-tutorials
• XGBoost - https://xgboost.readthedocs.io/en/latest/
• CatBoost - https://yandex.ru/dev/catboost/
• Theano - http://deeplearning.net/software/theano/
• TensorFlow - https://www.tensorflow.org/
• sknn - https://scikit-neuralnetwork.readthedocs.io/en/latest/
• Theanets - https://github.com/lmjohns3/theanets
• Keras - https://keras.io/
• OpenCV - https://opencv.org/

Датасеты

• http://yann.lecun.com/exdb/mnist/
• http://www.image-net.org/
• https://en.wikipedia.org/wiki/List_of_datasets_for_machine_learning_research
• https://storage.googleapis.com/openimages/web/index.html
• https://github.com/philipperemy/timit
• https://www.nist.gov/programs-projects/face-recognition-grand-challenge-frgc

Темы

• https://en.wikipedia.org/wiki/Outline_of_artificial_intelligence#Branches_of_artificial_intelligence

Face Recognition

• https://github.com/ageitgey/face_recognition
• https://cmusatyalab.github.io/openface/

Speech Recognition

• https://pypi.org/project/SpeechRecognition/

Image Object Recognition

• https://imageai.readthedocs.io/en/latest/
  • https://stackabuse.com/object-detection-with-imageai-in-python/
  • https://towardsdatascience.com/object-detection-with-10-lines-of-code-d6cb4d86f606

StereoVision

• https://medium.com/stereopi/opencv-and-depth-map-on-stereopi-tutorial-62cb6792bbed

Некоторые полезные ресурсы

• https://en.wikipedia.org/wiki/Outline_of_artificial_intelligence
• https://en.wikipedia.org/wiki/List_of_artificial_intelligence_projects
• https://en.wikipedia.org/wiki/List_of_datasets_for_machine_learning_research
• http://wordnet.princeton.edu/
• http://project.phil.spbu.ru/RussNet/index_ru.shtml
• http://wordnet.ru/
• http://www.vision.caltech.edu/Image_Datasets/Caltech101/
• https://www.scipy.org/
• http://www.numpy.org/
• http://leenissen.dk/fann/html/files/fann_train-h.html
• https://archive.ics.uci.edu/ml/datasets/mushroom
• https://archive.ics.uci.edu/ml/index.php
• https://www.kaggle.com/
• https://keras.io/
• https://xgboost.readthedocs.io/en/latest/
• https://lasagne.readthedocs.io/en/latest/
• http://deeplearning.net/software/theano/index.html
• https://catboost.yandex/
• https://arxiv.org/
• https://arxiv.org/list/cs.CV/recent
• https://yandex.ru/dev/catboost/