Artificial Intelligence #90

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.

This issue is sponsored by AtScale and MindsDB.

• 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
• [Sponsored] How to deliver actionable insights at scale

Join data and analytics leaders from Jackson National Life, Allstate, and Tableau on 10/28, who will share practical guidance and examples on how to prepare analysis-ready information using a semantic layer without the need for complex data engineering.

• [Project] OpenPrompt: an open-source toolkit for prompt-learning
• [ArXiv] A few more examples may be worth billions of parameters
• [Sponsored] Hacktoberfest: Contribute to MindsDB open-source ML platform and win a powerful GPU Laptop for Deep Learning
• [Project] cleanlab: machine learning with noisy labels
• [ArXiv] A simple method to improve the zero-shot performance of large language models

The newsletter is now read by more than 500,000 subscribers. If you are building an AI or a data product or service, you are invited to join the list of?these great companies?by becoming a sponsor of one of the future newsletter issues. Feel free to reach out to?[email protected]?for more details on sponsorships.

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