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EP 10 | CS21SI Week 1: ML Basics & The Ethics of AI
We’re kicking off a brand new series! This week we dive into CS21SI, a course that bridges the gap between technical AI development and its real-world impact. We start at the beginning: how machines learn and the ethical guardrails we need to build alongside them.
Key Topics:
Intro to Machine Learning: A high-level look at how models learn from data patterns.
AI Ethics: Moving beyond the code to discuss bias, fairness, and the responsibility of the AI creator.
Impactful AI: Understanding the societal implications of the models we deploy.
Note: This is an AI-generated study resource created via NotebookLM based on Stanford CS21SI materials and personal study notes.
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By Jack LakkapragadaWe’re kicking off a brand new series! This week we dive into CS21SI, a course that bridges the gap between technical AI development and its real-world impact. We start at the beginning: how machines learn and the ethical guardrails we need to build alongside them.
Key Topics:
Intro to Machine Learning: A high-level look at how models learn from data patterns.
AI Ethics: Moving beyond the code to discuss bias, fairness, and the responsibility of the AI creator.
Impactful AI: Understanding the societal implications of the models we deploy.
Note: This is an AI-generated study resource created via NotebookLM based on Stanford CS21SI materials and personal study notes.