MLDS 2018: Machine Learning for Data Science

Predeal, Romania, August 2018

The students are expected to be comfortable with programming and to exhibit a basic level of mathematical dexterity (linear algebra, calculus, probability theory and statistics).

- Python, NumPy, SciPy, SciKit
- NumPy tutorial
- Linear Regression
- Gradient Descent
- Machine Learning: Logistic Regression, Softmax, SVMs
- Deep Learning: Fully Connected and Convolutional Neural Networks
- Deep Learning: Recurrent Neural Networks
- PyTorch tutorials