Dr. Sarah Chen
AI Research Scientist at Stanford AI Lab specializing in machine learning, neural networks, and deep learning. Passionate about making AI research accessible to everyone.
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Notebooks
6 notebooksIntroduction to Machine Learning
A comprehensive guide covering the fundamentals of machine learning, including supervised learning, unsupervised learning, and reinforcement learning approaches.
Neural Networks Deep Dive
Detailed exploration of neural network architectures, from perceptrons to transformers, with practical implementations.
Transfer Learning Techniques
Master transfer learning and fine-tuning pre-trained models for specific tasks with practical examples.
Reinforcement Learning Basics
Introduction to reinforcement learning concepts, algorithms, and real-world applications.
AI Ethics & Bias
Critical examination of ethical considerations in AI development and strategies for bias mitigation.
Attention Mechanisms Explained
Comprehensive guide to attention mechanisms and their role in modern deep learning architectures.