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Beginner

ML Fundamentals

Start here: what machine learning is and how it thinks.

The concepts every other path builds on, what machine learning is, how it differs from traditional programming and the vocabulary you'll see everywhere else on this site.

8 of 8 lessons available

EXAMPLESeach with its answerTRAININGfind what predictsA MODELthe rule you keepEXAMPLES IN, RULES OUTAND WHAT IT LEARNS GOES BACK TO BE CHECKEDNOBODY WROTE THE RULE DOWN
Examples with their answers go in, and the rule nobody wrote comes out. Every later chapter is a longer look at one part of that.

Lessons in this path

  1. What Is Machine Learning?
  2. AI vs. Machine Learning vs. Deep Learning
  3. Types of Machine Learning: Supervised, Unsupervised and Reinforcement
  4. How Machines Learn From Data: Features, Labels and Models
  5. The Machine Learning Workflow: From Data to Deployment
  6. Training, Validation and Test Sets
  7. Overfitting and Underfitting
  8. Evaluating Model Performance
ML Fundamentals | OnePocketML