#242 overall
Elements of AI
University of Helsinki
2 recommenders · 2 threads · recommended in 2 years, 2020–2022 · score 1.8
Elements of AI is a free online introduction to artificial intelligence from the University of Helsinki, with a theory course followed by an applied course offering programming, light-coding, or no-coding tracks. It covers basic statistics such as Bayes' theorem, what AI can and cannot currently do, and societal implications of automated decision-making.
Commenters call it accessible and a good introduction to AI, and one recommends it to non-technical executives as a less technical alternative to Andrew Ng's Coursera courses.
Machine Learning & AIbeginnerfreemixed#ai introduction#machine learning#bayes theorem#non-technical#university of helsinki
Recommendations by year
20062026
It's not a book but I really like the Elements of AI two-part course series that the University of Helskini provided (financial) support for: the two courses in the Elements of AI series consist of a pure theory course and the second course is a hands-on / applied course. Because not everyone who is seeking to learn about AI has programming skills the second course is a 'choose your own adventure' type course, with one track involving lots of programming, one 'middle of the road' option with just a touch of coding, and the other track not involving any programming whatsoever (suitable for executives, IMO).
https://www.elementsofai.com/
I've recommended this course (just the first one if you're a time-constrained executive) to C-suite colleagues in the past who wanted to become more informed about ML, DL and AI, but who didn't want a deeply technical explanation a la Andrew Ng's Coursera courses or similar content.
The Elements of AI courses touch upon the statistical underpinnings of the space (there's a unit on Bayes' Theorem), the societal implications of automated decision-making process (job creation, etc.), what tasks are "doable with AI today" and which tasks are definitely _not_ doable with A(G)I, etc.
Helping non-technical folks develop an intuition about what is possible with "AI" is crucial, I think, to having a workplace and a society that can talk realistically about the benefits and detriments of robotic data processing such as ML, DL, AI.
Not coursera but I'd definitely recommend Helsinki university's Elements of AI course [0].
It's quite accessible and a good introduction to artifical intelligence.
[0]: https://www.elementsofai.com/