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LinkedIn Learning

LinkedIn AI Academy AI-100: 1 Demystifying AI

via LinkedIn Learning

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Overview

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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