True Positive Weekly #41

The most important artificial intelligence and machine learning links of the week

Hey, in this issue: Kaggle's 2021 State of Data Science and Machine Learning survey; Peter Norvig on today’s most pressing questions in AI; a few more examples may be worth billions of parameters; an open-source toolkit for prompt-learning; a library for machine learning with noisy labels; and more.

• Kaggle's 2021 State of Data Science and Machine Learning survey

• [Project] YoHa: A practical hand tracking engine (website, GitHub, demo)

• [SciAm] ‘Small Data’ is also crucial for machine learning

• Peter Norvig: today’s most pressing questions in AI are human-centered

• [Project] OpenPrompt: an open-source toolkit for prompt-learning

• [ArXiv] A few more examples may be worth billions of parameters

• [Project] cleanlab: machine learning with noisy labels

• [ArXiv] A simple method to improve the zero-shot performance of large language models

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Have a nice weekend! See you next week. — Andriy