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Machine Learning

A practical extension of data analysis. In 20 short lessons, go from what machine learning is to how a neural network works: regression, classification, how to judge a model, trees and forests, clustering, and working through a project with frontier AIs as your study partner.

  • 20 video lessons
  • Marked assignments
  • Learn at your own pace
Enrol and pay by bank transfer

Syllabus

Part 1: Foundations
  • What machine learning is
  • Supervised and unsupervised learning

Part 2: Predicting numbers
  • Linear regression with one and several inputs
  • How a model learns: gradient descent

Part 3: Preparing data for a model
  • Training and testing data
  • Turning categories into numbers

Part 4: Predicting categories and judging a model
  • Logistic regression
  • The confusion matrix, precision and recall
  • Overfitting and cross validation

Part 5: More models
  • Decision trees and random forest
  • K-nearest neighbours
  • K-means clustering

Part 6: Putting it together
  • Working through a project with an AI assistant
  • Neural networks, simply explained
  • Your roadmap

All students follow the same order. Learning patterns highlight the lessons most useful to each learner without hiding anything. Most lessons link to notebooks or datasets in the video description. Paid AI plans are optional.

What you will cover

Skill

  • 02What Machine Learning Is, and How It Differs from Normal Programming
  • 03Supervised and Unsupervised Learning
  • 04Linear Regression with One Input
  • 05Linear Regression with Several Inputs
  • 06How a Model Learns: Gradient Descent
  • 07Training Data and Testing Data
  • 08Turning Categories into Numbers

Implementation

  • 09Logistic Regression: Predicting Yes or No
  • 10The Confusion Matrix
  • 11Precision and Recall
  • 12Overfitting: When a Model Memorises
  • 13Cross Validation
  • 14Decision Trees
  • 15Random Forest
  • 16K-Nearest Neighbours
  • 17K-Means Clustering

Packaging

  • 18Working Through a Project with an AI Assistant
  • 19Neural Networks, Simply Explained

Full lesson notes, video links and the AI angle for each lesson unlock once your enrolment is approved.