AI/MLTeach Back
Neural NetworksSimple explanation of neural networks, and breaking down down vectors, weights and the network layers.
Teaching Library
Turning what I learn into clear explanations.
Every video is part of my learning process. I study a topic, break it down, and explain it clearly.
Each explanation is backed by a related project when applicable.
AI/ML
LLM workflows, model intuition, evaluations, prompting, and applied machine learning systems.
Cloud
Infrastructure, deployment patterns, backend architecture, and platform tradeoffs.
CloudTeach Back
AWS - Compute ServicesA very brief overview of AWS's 3 main compute resources. EC2, ECS, & Lambda.
Data
Pipelines, analytics, warehousing, experimentation data, and distributed data ideas.
