SFU Data Fellowships are interactive courses that provide hands-on learning taught by leading data experts at SFU.

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...

So if race is disproportionately (but not explicitly) represented in the data fed to a data-mining algorithm, the algorithm can infer race and use race indirectly to make an ultimate decision.

Big data programming models: map-reduce, distributed databases, software for implementing streaming and sketching algorithms. Dealing with unstructured data such as images, text or biological ...

This is a graduate-level course on theoretical aspects of Big Data. We will examine algorithms and data structures for dealing with massive data sets. We will discuss such topics as streaming ...

Opinion: Algorithms are making us do their bidding, and we should be mindful.

Data science facilitates data-driven decision making, and occasionally permits automatic decision-making at large scale, and is reliant on technology for “big data” storage and engineering.

However, data is the fuel of Artificial Intelligence. AI needs vast amounts of data in order to start generating usable insights. Large Language Models (LLM) are a subset of AI where the algorithm is ...

Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing algorithmic thinking. Basic toolkit for the design and analysis of ...

"Algorithms define action … dynamic algorithms are the core of new customer interactions." Forget big data, it's time for big algorithms – and an algorithmic economy.