Yandex Machine Learning School 2018 (London)
Ten intensive days of machine learning, from k-NN to GANs.
The Yandex Machine Learning School took place from 16 to 26 January. It was an intensive programme, combining lectures, homework, assignments, tutorials and an exam within just ten days. The topics covered included:
- Introduction to Machine Learning
- $k$-Nearest Neighbour
- Model Complexity
- Principal Component Analysis, PCA
- Singular Value Decomposition
- Linear Regression
- Linear Classification
- Kernel Trick
- Classifier Evaluation
- Decision Trees
- Ensemble Methods
- Boosting
- Neural Network
- Tricks and Philosophy in Deep Learning
- Deep Learning - Computer Vision Applications
- Deep Learning - Recurrent Neural Network
- Deep Learning - Recurrent Neural Network
- Reinforcement Learning in a Nutshell
- Generative Adversarial Networks and Autoencoders
All lectures and tutorials are available on Github.