https://vickiboykis.com/2022/11/10/how-i-learn-machine-learning/ How I learn machine learningVicki BoykisNov 10 2022 “My overarching goal as an MLE is to continuously work towards designing and deploying well-designed, and transparent machine learning systems and
What I Read: Learning to Imitate
https://ai.stanford.edu/blog/learning-to-imitate/ Learning to ImitateDivyansh GargNovember 1, 2022 “A key aspect of human learning is imitation…. How can we enable our artificial agents to similarly acquire such fast learning ability?”
What I Read: Federated, Protects Privacy
https://pair.withgoogle.com/explorables/federated-learning/ How Federated Learning Protects Privacy “With federated learning, it’s possible to collaboratively train a model with data from multiple users without any raw data leaving their devices.”
What I Read: New Chip, AI
https://www.quantamagazine.org/a-brain-inspired-chip-can-run-ai-with-far-less-energy-20221110/ New Chip Expands the Possibilities for AIAllison WhittenContributing WriterNovember 10, 2022 “An energy-efficient chip called NeuRRAM fixes an old design flaw to run large-scale AI algorithms on smaller devices,
What I Read: Data Pipeline Smoke Tests
https://dagster.io/blog/smoke-test-data-pipeline The Unreasonable Effectiveness of Data Pipeline Smoke TestsSandy RyzaOctober 19, 2022 “Data practitioners waste time writing unit tests to catch bugs they could have caught with smoke tests.”