Machine Learning with Python: from Linear Models to Deep Learning.

An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in Statistics and Data Science.

Syllabus

Understand principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning
Implement and analyze models such as linear models, kernel machines, neural networks, and graphical models
Choose suitable models for different applications
Implement and organize machine learning projects, from training, validation, parameter tuning, to feature engineering.