ΑΙhub.org
 

Building AI – follow-up course from the creators of Elements of AI

by
28 January 2021



share this:
building AI

You may be one of the 600,000+ people who signed up to the popular Elements of AI course, created by Reaktor and the University of Helsinki. The good news is that the team have released a second course: Building AI. Like the first course, this is completely free, and you can learn at your own pace.

Building AI is for anyone who wants to improve their AI-related vocabulary and skills, including non-programmers and people who can program in Python. By taking the course, you’ll learn more about what makes different AI methods possible and where and how these methods can be applied in real life. As a result of this course, you will be able to craft your own AI idea and present it in an understandable format.

There are five chapters in this course:

  1. Getting started with AI
  2. Dealing with uncertainty
  3. Machine learning
  4. Neural networks
  5. Conclusion

If you haven’t already checked out the original Introduction to AI course, then you can find it here.




Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



AIhub coffee corner: Open vs closed science

The AIhub coffee corner captures the musings of AI experts over a short conversation.
26 April 2024, by

Are emergent abilities of large language models a mirage? – Interview with Brando Miranda

We hear about work that won a NeurIPS 2023 outstanding paper award.
25 April 2024, by

We built an AI tool to help set priorities for conservation in Madagascar: what we found

Daniele Silvestro has developed a tool that can help identify conservation and restoration priorities.
24 April 2024, by

Interview with Mike Lee: Communicating AI decision-making through demonstrations

We hear from AAAI/SIGAI Doctoral Consortium participant Mike Lee about his research on explainable AI.
23 April 2024, by

Machine learning viability modelling of vertical-axis wind turbines

Researchers have used a genetic learning algorithm to identify optimal pitch profiles for the turbine blades.
22 April 2024, by

The Machine Ethics podcast: What is AI? Volume 3

This is a bonus episode looking back over answers to our question: What is AI?
19 April 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association