Machine Learning Fundamentals for AI Agents (06 AI Agents for Business)

Описание: Linkedln-  / sandeep-kumar-singh-phd-75b2517  
Notes- https://docs.google.com/document/d/1A...

Source - https://drive.google.com/file/d/1KxjL...

These sources provide an overview of Machine Learning (ML), focusing on its relevance for business AI agents. They explain that ML allows systems to learn from data without explicit programming, making AI agents effective in dynamic business environments by enabling personalization, pattern discovery, and autonomous adaptation. The sources detail the general ML process through relatable business analogies and contrast Supervised Learning (using labeled data for classification and regression) with Unsupervised Learning (finding patterns in unlabeled data via clustering and dimensionality reduction). Finally, they introduce Reinforcement Learning as a third type where agents learn through trial and error and propose pedagogical strategies, like using visual aids and analogies, to make these concepts accessible to business students with an emphasis on strategic business value.

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