Welcome

Most blogs, tutorials, and videos about machine learning and AI fall into one of two categories: technically impenetrable, or so simplified they’re basically wrong. So most people end up deciding what to think about AI from headlines, and the headlines are often wrong. ML Advocate is the third option.

We look for the pattern under the headline. Machine learning and AI news repeats itself: different details, same behavior. Once you see the pattern, the next headline gets easier to judge.

It’s for professionals who work alongside machine learning and AI, and want to understand it, then use that understanding to do their jobs more effectively. It’s written by someone with more than 25 years in machine learning and AI, as a consultant, developer, and now product manager at a major tech company.

It’s also for curious people who don’t have time to sort through everything written about machine learning and AI. Once a month, The ML Advocate Monthly rounds up new ML Advocate posts, plus the best articles, podcasts, and videos from sources we trust.

And on Fridays, there’s a shorter series called Because it’s Friday that follows curiosity wherever it leads.

Short on time? Ask ML Advocate, the site’s assistant. It answers from every post on the blog.

[Patterns first. Algorithms second.]