Для себя Примеры заданий https://disk.yandex.ru/i/mKXnW64YFefKyA Экзамен (пересдача) уже через 10 дней. Знания не нулевые, но нужно привести все в порядок. Экзамен на 3 курсе ВШЭ, факультет MDI. Название предмета: Data Science, Al and Generative Models Independent Test. Advanced Level Надо знать по ML: Machine learning: Main problems in machine learning (classification and regression). Linear algebra basics for ML. Measuring the quality of a model. Key loss functions. Improving the quality of a model. Handling overfitting. Cross-validation. Selecting parameters according to the grid. Basic classical ML algorithms: linear models, the nearest neighbour method, decision trees and ensemble models. Clustering problem and basic algorithms: k-means, DBSCAN. Text processing (cleaning, transformation, tokenization, lemmatization). Basic approaches to image processing (normalization, handling black-and-white and colour images). Basic concepts from deep learning (layer types, activation functions and their properties).