LinkedIn AI Academy AI-100: 1 Demystifying AI

Learn what artificial intelligence is, a brief history of the field, the variety of ways in which AI touches our lives today, and the possibilities that lay ahead of us.

Introduction

• The LinkedIn AI Academy: The imperative of understanding AI

1. Introduction to AI

• What is AI?
• AI and machine learning
• Three pillars of AI: Objectives, data, algorithms
• Building real AI applications

2. Supervised Learning

• Supervised learning vs. unsupervised learning

3. Regression

• What is regression?
• Linear regression
• Multiple linear regression
• Bias and variance
• Evaluating a linear regression model

4. Classification

• What is classification?
• Logistic regression
• Evaluating models and choosing the best

5. Nonlinear Models

• Why are linear models not enough?
• A primer to nonlinear models: Decision trees, neural networks

6. Do It Right

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

Conclusion

• Continuing with AI