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LinkedIn AI Academy AI-100: 1 Demystifying AI

via LinkedIn Learning

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Overview

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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.

Syllabus

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

Taught by

Souvik Ghosh

Reviews

4.7 rating at LinkedIn Learning based on 800 ratings

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