Understand machine learning's role in data-driven modeling, prediction, and decision-making.

Understand machine learning's role in data-driven modeling, prediction, and decision-making.

Learn about NP-complete problems, known as hard problems that can’t be solved efficiently, and practice solving them using algorithmic techniques.

Learn about NP-complete problems, known as hard problems that can’t be solved efficiently, and practice solving them using algorithmic techniques.

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

Learn about pattern matching and string processing algorithms and how they apply to interesting applications.

Learn about pattern matching and string processing algorithms and how they apply to interesting applications.

Learn the core techniques of computational linguistics alongside the cognitive science that makes it all possible and the ethics we need to use it properly.

Extend your knowledge of the core techniques of computational linguistics by working through case-studies and visualizing their results.

Explore the fundamentals of UIKit for building user interfaces in iOS applications.