Summary
Getting Started with AI (part 2)
Introduction
Datasets
Workspace Setup
Data Exploration
Data Preparation
Descriptive Statistics
Visualisation
Random Forest
Random Forest
Evaluation
Tuning
Neural Networks
Neural Networks
NN with PyTorch
Building a NN with PyTorch
Evaluation
Pre-Built and Pre-Trained
Exercise
Large Language Models
Using third-party APIs
A realistic example
Advantages and disadvantages
Summary
Summary