Machine Learning: From Patterns to Predictions

A practical introduction to models, training, and evaluation.

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5 types

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YouTube

What Is Machine Learning?

Machine learning builds models that learn from historical data to make predictions on new inputs. Start with the primer video YOUTUBE Intro to Machine Learning (YouTube).

Training and Validation

Split data into train/validation/test sets. Compare metrics and tune hyperparameters iteratively.

As a cross-domain analogy, a cell processes signals much like a model transforms features IMAGE Cell Structure Diagram.

Quick Reference

Supervised learning maps input features to labeled outputs.

Bias-variance tradeoff explains underfitting versus overfitting in model behavior.

Replay the introductory walkthrough YOUTUBE Intro to Machine Learning (YouTube) before building your first model.

Machine Learning Studio 01

Applied lesson on datasets, models, and prediction systems - module 01.

Machine Learning Studio 02

Applied lesson on datasets, models, and prediction systems - module 02.

Machine Learning Studio 03

Applied lesson on datasets, models, and prediction systems - module 03.

Machine Learning Studio 04

Applied lesson on datasets, models, and prediction systems - module 04.

Machine Learning Studio 05

Applied lesson on datasets, models, and prediction systems - module 05.

Machine Learning Studio 06

Applied lesson on datasets, models, and prediction systems - module 06.