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Breaking the Jargons
Sifting Real Progress from Hype in Machine Learning
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Parul Pandey
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Breaking the Jargons
May 16, 2023
Explaining models built in H2O
Evaluating single models based on global and local explanations
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Parul Pandey
in
Breaking the Jargons
Apr 27, 2023
Effortless Fine-Tuning of Large Language Models with Open-Source H2O LLM Studio
A framework and…
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Parul Pandey
in
Breaking the Jargons
Oct 16, 2021
Overcoming ImageNet dataset biases with PASS.
PASS: An ImageNet replacement for self-supervised…
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Parul Pandey
in
Breaking the Jargons
May 13, 2023
How effective is Google's Bold and Responsible Approach to AI?
Google I/O 2023: A Look at Google's…
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Parul Pandey
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Breaking the Jargons
Dec 13, 2023
Python in Excel: Initial Impressions 🐍 + 📊
Data Analysis Without Leaving Your Worksheet
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Breaking the Jargons
Sifting Real Progress from Hype in Machine Learning
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