Machine Learning

The Machine Learning Mastery Method

5-Steps To Get Started and Get Good at Machine Learning

I teach a 5-step process that you can use to get your start in applied machine learning.

It is unconventional.

The traditional way to teach machine learning is bottom-up.

Start with the theory and math, then algorithm implementations, then send you off to figure out how to start solving real-world problems.

Machine Learning for Programmers - Gap in Bottom Up

The traditional approach to getting started in machine learning has a gap on the path to practitioner.

The Machine Learning Mastery approach flips this and starts with the outcome that is most valuable.

It targets the outcome that business wants to pay for:
how to deliver a result.

A result in the form of a set of predictions or model that can reliably make predictions.

This is a top-down and results-first approach.

Starting with the goal of achieving the result that is most desirable in the marketplace, what is the shortest path to take you, the practitioner, to that result?

We can summarize this path in 5-steps as follows: