Artificial Intelligence Algorithms Models and Limitations

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Overview

Artificial Intelligence Algorithms, Models, and Limitations is a comprehensive course that explores the fundamental algorithms and models driving AI technologies, while also addressing their inherent constraints. Designed for learners with some AI background, this course provides a balanced understanding of both the capabilities and challenges of AI systems. You will study core AI algorithms including search techniques, optimization methods, machine learning models, and reasoning approaches. The course dives into popular models such as decision trees, neural networks, reinforcement learning, and probabilistic...

Syllabus

Getting Started: Algorithms

Welcome to the course! We're going to get started with an overview of the course structure as well as an introductory look at the world of algorithms

AI and Model Outcomes

This week, we are going to dive into predictive modeling the core differences in theory and practice

Rules for AI: training and constraints

This week we are going to focus on machine learning accuracy and training guidelines in the quest for more accurate and ethical models

Ethical AI: Cause and Effect

In our final week, we're going to ask some big questions about where all this predictive intelligence leads. We will discuss the trajectory of artificial intelligence and the broader implications for society as well