AI Revolution — Your Fast-Paced Introduction to Machine Learning
From Basics to Generative AI
Artificial intelligence (AI) is the ability of machines to do things that typically require human intelligence.
This has been enabled by advances in machine learning (ML), which is training machines to ‘learn’ how something works by feeding it lots of data.
A classic example is training machines to classify patterns. For example, discerning pictures of dogs from pictures of cookies.
Rather than explicitly-program rules of what a dog looks like (hard-coding), for instance, “two eyes, long nose, mouth with a big sloppy tongue”, our machine is simply fed thousands of photos of dogs and told ‘These are dogs. Learn, my cold metallic friend!”
By the end of this training process, the machine has learnt the rules of what a dog looks like by itself. It’s now ready to chomp on new photos and eagerly tell you whether it’s a dog or an imposter.
This is a classic example of supervised machine learning — where the training data is labelled. (We told the machine when a photo was a dog.)
