YoVDO

LinkedIn AI Academy AI-100: 1 Demystifying AI

Offered By: LinkedIn Learning

Tags

Artificial Intelligence Courses Data Analysis Courses Machine Learning Courses Supervised Learning Courses Neural Networks Courses Linear Regression Courses Classification Courses Logistic Regression Courses Decision Trees Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn Statistical Learning with R
Stanford University via edX Machine Learning 1—Supervised Learning
Brown University via Udacity Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX