Free preview lesson · AI Engineering: Build & Deploy ML Models · Module 1: Learning algorithms
Supervised learning
Most machine learning problems start with one question: do you have labelled examples of the answer?
Supervised learning
You have examples with known answers, such as past transactions marked fraud or not.
Unsupervised learning
You have data without answers and want structure, such as customer groups.
Picking a first model
Start with a simple baseline so you know what a better model must beat.
Common pitfall
Starting with a complex model before establishing a baseline.
Action step
Pick a dataset you know and write whether it suits supervised or unsupervised learning.
This is one lesson from AI Engineering: Build & Deploy ML Models.
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