Data analytics & machine learning

What do those words mean?

Data analytics: that’s just modern statistics.

If you tell your barber that you do statistics they’ll tell you how much they hated that class, and they will pity you.

A big difference between “conventional” and “modern” statistics (data analytics) is a de-emphasis on \(p\)-values.

Machine learning

If you ask folks what the difference is between machine learning (ML) and statistics/analytics

But I think that the underlying theme is automation.

Data-driven analysis and decision-making should:

Many of the tools are the same in stats and ML, but in ML algorithms are king, often at the expense of (human) interpretation.

Artificial intelligence

Building machines that do like humans do is a subtly different enterprise,

Humans are good decision makers, but sometimes they don’t see the forest from the trees.

Stats (and ML) punt on “being human”, and instead focus on


These notes

… are not a sufficient record of material covered in lecture.

  • If you stay home and think you can get all you need by reading over the slides you’ll be disappointed,
  • and so will I.

The details of mathematical calculations will be entirely left to board work,

  • and you will be expected to do similar calculations on your homework.

The code examples in the slides will be terse, otherwise they wouldn’t fit on the slides.

  • We will rely on interactive code sessions for the details
    • (and no record will be provided).

“Optional” books