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Pragmatic AI and Machine Learning Core Principles

Video Introducing this tutorial


Introduction :

Pragmatic AI and Machine Learning Core Principles: Introduction 00:02:03 :

Lesson 1: Decoding Artificial Intelligence :
Learning objectives
1.1 Learn the evolution of AI
1.2 Learn the difference between narrow, general, and super AI
1.3 Understand applications of AI across industries
1.4 Learn about opportunities in AI for individuals, organizations, and the ecosystem

Lesson 2: Learn the Principles of Machine Learning—Part I :
Learning objectives
2.1 Learn the basics of Machine Learning
2.2 Understand the framing of Machine Learning problems
2.3 Comprehend the Nearest Neighbors algorithm
2.4 Learn decision trees
2.5 Learn the intuition behind Gradient Descent
2.6 Understand Neural Network theory
2.7 Comprehend the fundamentals of Supervised Learning

Lesson 3: Learn the Principles of Machine Learning—Part 2 :
Learning objectives
3.1 Understand Cluster Analysis
3.2 Learn Expectation-Maximization
3.3 Comprehend Dimensionality Reduction theory
3.4 Understand Social Network theory
3.5 Learn Recommender Systems
3.6 Understand the fundamentals of Unsupervised Learning
3.7 Challenges and opportunities

Summary :
Pragmatic AI and Machine Learning Core Principles: Summary