EP 05 | CS221 Week 2: Optimization & The Search for Solutions
from AI Bites: The Academic Series Hosted by Jack Lakkapragada
We’re diving deeper into the engine room of Artificial Intelligence this week. We continue our journey through Stanford’s CS221, moving from basic ML foundations into the math of optimization and the logic of search algorithms. Key Topics:• Machine Learning 2 & 3: A deep dive into loss functions, gradient descent, and how we actually "train" a model to improve.• Search Problems 1 & 2: Understanding how AI navigates state spaces—from basic tree and graph searches to finding the most efficient paths to a goal. Note: This is an AI-generated study resource created via NotebookLM based on Stanford CS221 materials and personal study notes.
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