Machine learning notes

ML Vault

A compact public vault with notes on classical ML, deep learning, metrics, ensembles, recommender systems, and optimization.

127 notes

ML SQL

Base 8 недельный план Base Activation function Base AdaBoost Base AGE Base Agregate functions Base array_length Base Backpropagation Base Bagging Base Base of ML Base Bayes' theorem Base BETWEEN Base Blanding Base Bootstrap Base CASE Base CAST Base Classification metrics Base CNN Base COALESCE Base Collaborative filtering Base CONCAT Base Content-based filtering Base cosine distance Base COUNT Base CROSS JOIN Base DATE_PART Base DATE_TRUNC Base decision support metrics Base Decision Tree as Linear models Base Decision Tree construction algorithms Base Decision Tree Base Deep Learning Base DISTINCT Base DL Thesaurus Base ELU Base Euclidean distance Base EXCEPT Base EXTRACT Base FULL JOIN Base GELU Base Gradient Boosting Base GROUP BY Base HAVING Base Hinge loss Base IN Base Information criteria for Decision Tree Base INNER JOIN Base INTERSECT Base INTERVAL Base Isolation Forest Base Item-based collaborative filtering Base Jaccard similarity Base JOIN Base k-means Base k-means++ Base kNN Base Knowledge distillation Base L1 регуляризация Base L2 регуляризация Base LAG and LEAD Base Leaky ReLU Base LEFT RIGHT JOIN Base Linear Classification Base Linear Models Base Linear Regression Base Linear Unsupervised models Base Logistic Regression Base Loss functions Base MAE Base MAPE Base Math Base Maximum Likelihood Estimation (MLE) Base ML Thesaurus Base ML Base MSE Base Naive Bayes classifier Base Nonlinear SVM Base Out of back Base OVER Base PCA Base Pearson correlation coefficient Base Predictive metrics Base Random Forest Base RecSys Roadmap Base RecSys Base ReLU Base RMSE-N Base RMSE Base SELECT Base SETS OPERATIONS Base Sigmoid Base SiLU Base Similarity metrics Base softmax Base softplus Base Split data in tree Base SQL tips Base SQL Base Stacking Base Supervised learning Base SVM Base Tanh Base Theory of probability Base TO_CHAR Base UNION Base unnest Base User-based collaborative filtering Base Variance Base WITH Base Агрегатные выражения Base Агрегация данных Base Аналитическое решение линейной регрессии Base Вторая норма вектора Base Гибридные рекомендательные системы Base достаточные статистики Base затухание градиента Base Источники Base Метрики RecSys Base Модели Deep Learning Base Модели классического ML Base Нормировки Base Нужно ли нормировать данные в Decision Tree Base Подзапросы Base Постановка задачи ML Base Регуляризация Base Стандартная нормировка Base чат с chatgpt про пример backpropagation Base Экспертные рекомендательные системы