AI and machine learning

The LinkedIn AI Academy: The imperative of understanding AI

What is AI?

Three pillars of AI: Objectives, data, algorithms

Building real AI applications

Supervised learning vs. unsupervised learning

What is regression?

Linear regression

Multiple linear regression

Bias and variance

Evaluating a linear regression model

What is classification?

Logistic regression

Evaluating models and choosing the best

Why are linear models not enough?

A primer to nonlinear models: Decision trees, neural networks

Know your objective, know your data, and listen to the data

Continuing with AI