Machine Learning with Python - from Linear Models to Deep Learning edX - online learning platform

Overview

Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behavior, compliance, or risk.

As a discipline, machine learning tries to design and understand computer programs that learn from experience for the purpose of prediction or control.  

In this Machine Learning with Python - from Linear Models to Deep Learning certificate at Massachusetts Institute of Technology - MITx, students will learn about principles and algorithms for turning training data into effective automated predictions. 

We will cover:

• Representation, over-fitting, regularization, generalization, VC dimension;

• Clustering, classification, recommender problems, probabilistic modeling, reinforcement learning;

• On-line algorithms, support vector machines, and neural networks/deep learning.

Students will implement and experiment with the algorithms in several Python projects designed for different practical applications.

This course is part of Statistics and Data Science (General Track) MicroMasters Program.