(For more background, check out our first flowchart on "What is AI?" here.) Machine-learning algorithms use statistics ... learning comes in three flavors: supervised, unsupervised, and reinforcement.

Machine learning algorithms are the engines of machine learning, meaning it is the algorithms that turn a data set into a model. Which kind of algorithm works best (supervised, unsupervised ...

Supervised learning starts with ... To be useful for machine learning, data must be aggressively filtered. For example, you’ll want to: There is a lot more you can do, but it will depend on ...

Today, supervised machine learning ... themselves With unsupervised learning, things become a little trickier. The algorithm has the same input data – in our example, digital images showing ...

Many supervised ML problems begin with gathering a team of people who will label or score the data elements with the desired answer. For example ... the same machine learning algorithms can ...

Here’s how that can work in practice, for a common kind of machine learning called supervised learning ... With efficient algorithms, well-chosen functions and enough examples, machine learning can ...