Artificial Intelligence Explained
Artificial Intelligence (AI) is everywhere—but the fundamentals are often misunderstood. In this fast-paced introduction, quickly ramp up on the current state of AI: how it's implemented, what's important, cover terminology and the current AI market.
What you'll learn
Artificial Intelligence (AI) is everywhere—but the fundamentals are often misunderstood. In this fast-paced introduction, quickly ramp up on the current state of AI: how it's implemented, what's important, cover terminology and the current AI market. First, you'll go over the cliches—the things "everybody knows" about AI—and use them to explore several core concepts. Next, you will explore multiple different ways AI can be implemented, including Machine Learning, Deep Learning and Natural Language Processing. Finally, you will explore the AI marketplace and current AI issues and risks. When you are finished with this course, you will have a practical, pragmatic understanding of the current state of Artificial Intelligence as it is being used today.
Table of contents
- Introduction 3m
- Defining Artificial Intelligence 4m
- AI Winter 2m
- AI Cliches: Good and Bad 3m
- Artificial General Intelligence (AGI) 3m
- Machine Learning 6m
- Machine Learning Frameworks 4m
- Machine Learning Regression 3m
- Neural Networks and Deep Learning 4m
- Natural Language Processing 6m
- Marketplace of AI 3m
- Ethics and Responsible AI 6m
About the author
Simon is Creative Director and Principal Author at Pluralsight. With over three decades of software development experience, he's programmed in every discipline: from finance to transportation, nuclear reactors to game development. Prior to joining Pluralsight, Simon was the principal developer author at lynda.com. His first video course released back in 2002: since then, his popular courses have been viewed by hundreds of thousands of developers. His current focus is both on the new — the latest... more