Являюсь выпускником ШАД Яндекса. Посетил следующие курсы:
• Algorithms and Data Structures of Search 1: Data Structures, Sorting Algorithms, Dynamic Programming, Algorithms on Trees
• Algorithms and Data Structures of Search 2: Finite State Machines, Grammars, Algorithms of Substrings Search
• Discrete Math and Statistics
• C++: Basics, C++11, Smart pointers, Memory Allocation, Iterators, OOP
• Parallel and Distributed Calculations: C++11 Multithreading, OpenMP, MPI, MapReduce, Hadoop
• Python: Functional Programming, Iterators and Generators, Unit-testing, Collections, OOP
• Machine Learning 1: Metrical algorithms (KNN), Linear Regression, Decision Trees and Random Forest Ensemble (C4.5, ID3, CART), SVM, Gradient Boosting, XGBoost, Feature Selection, Grid Search, Cross Validation, SVD
• Machine Learning 2: Stacking, Clusterization (K nearest mean), Page-Rank (Pair-wise, Point-wise, SVM Light), Collaborative filtering (Pure SVD), AdaBoost
•Deep learning: Image segmentation, patterns recognition, image classification Frameworks: Tensorflow, Keras, Theano, Lasagne.
•Reinforcement learning: Q-learining, Monte-Carlo methods (Cross-entropy), SARSA, N-step Q-learning, N-step SARSA, Expected value SARSA, Deep Reinforcement Learning Frameworks: Tensorflow, Keras, Theano, Lasagne.