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Define: artificial intelligence

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Alas, that term "artificial intelligence" gets bandied about a lot in business and non-business circles. So what exactly do we mean by "AI"? And to make things more complicated - what do people mean when they say "machine learning"?  A no-nonsense guide to AI Quite simply: AI is a general label for all of the computerised systems that perform tasks in an approximation of human intelligence. You know that magic rice cooker? It might have a heuristic (fancy way of saying "a rule of thumb") on "how long to keep the water on the boil". It's not quite as sexy as "machine learning", but this approximation of how grandma used to cook the rice is as simple as saying, "use two cups of water for every one cup of rice".  The next level down is "machine learning", and I actually prefer to split this down into supervised learning, unsupervised learning and reinforcement learning. These are statistical methods where ...

Inductive vs Deductive approaches #statisticalThinking @muralCo #imagine2020

In this past month I've had a bunch of interesting interactions with strategists, consultants and statisticians. Quite tongue-in-cheek, but I thought I'd share this insight on #inductive vs. #deductive approaches to statistics : Settling the debate between induction vs deduction once and for all. #StatsTikTok pic.twitter.com/U7xSuBFrTL — DaniĆ«l Lakens (@lakens) May 17, 2020 Inductive vs Deductive But more seriously, what does it mean to be inductive or deductive? I'm sharing my notes here, because it was a chance for me to experiment with the Mural service, having attended some of Mural #Imagine2020 . I'm planning to use #Mural on my next data science project and I can quickly see how this can be a great facilitation tool to work with problem owners and business leaders to bring design thinking and a clear analytical thought process to their ill-defined business problems. Figure 1: Inductive thinking Let's have a hypothetical situation of a manufacturer of unique p...