This course aims to explore computational memory as a pathway to non-von Neumann computing. The learning outcomes include understanding the challenges in traditional von Neumann computing,...

This course explores the practical applications of blockchain beyond cryptocurrency, focusing on real-world scenarios. By the end of the course, learners will understand the potential of...

Explore how leading audio, music, and video technology companies bring products from idea to market, and discover your career options in the industry! In five 30- to 60-minute sessions, you’ll...

At the start of the course, individuals will be matched with a team based on their interests and prior experience. Over the course of the 8 weeks, participants will explore key concepts relating...

Stocks and bonds have always been a critical part of any investment portfolio, but what do investors actually get in exchange for their investment? Why do publicly traded stocks and bonds...

At the start of the course, individuals will be matched with a team based on their interests and prior experience. Over the course of the 8 weeks, participants will explore key concepts relating...

This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression...

About the Database Series of Courses "Databases" was one of Stanford's three inaugural massive open online courses in the fall of 2011. It has been offered in synchronous and then in...

About the Database Series of Courses "Databases" was one of Stanford's three inaugural massive open online courses in the fall of 2011. It has been offered in synchronous and then in...

About the Database Series of Courses "Databases" was one of Stanford's three inaugural massive open online courses in the fall of 2011. It has been offered in synchronous and then in...

About the Database Series of Courses "Databases" was one of Stanford's three inaugural massive open online courses in the fall of 2011. It has been offered in synchronous and then in...

The Faust programming language provides a generic way to implement signal processing algorithms for sound synthesis and processing towards professional audio applications. Thanks to its...

Capturing Data, Modeling Patterns, Predicting Behavior. Capturing Data, Modeling Patterns, Predicting Behavior - Based on collecting more than 20 million blog posts and news media articles per...

The course aims to teach students how to analyze single-trial high dimensional neural data. By the end of the course, students will be able to understand fundamental conceptual questions in...

The course covers theories of inference for visual analysis, aiming to teach students how to optimize visualizations for easy pattern finding, visualize distribution and uncertainty, evaluate...

This course aims to teach learners how to develop design spaces for visualization. The learning outcomes include understanding the concept of design spaces, creating design spaces with multiple...

The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course. The book is published...

This course aims to help learners make sense of statistics in the news by covering topics such as relative risk, absolute risk difference, communicating risks correctly, and understanding...

This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression...

The course teaches students how to specify joint distributions compactly using Bayesian networks and factor graphs. It covers probabilistic inference, explaining away, consistency of...