Overview
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Learn the fundamental concepts of machine learning in this comprehensive lecture that establishes the essential groundwork for understanding ML principles and methodologies. Explore core theoretical foundations, key terminology, and basic concepts that form the building blocks of machine learning systems. Gain insights into different types of learning paradigms, understand the mathematical underpinnings of ML algorithms, and discover how machine learning fits into the broader landscape of data science and artificial intelligence. Master the foundational knowledge necessary to progress to more advanced machine learning topics and applications through clear explanations and practical examples presented by the University of Utah Data Science program.
Syllabus
Machine learning foundations: Part 1
Taught by
UofU Data Science