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Late to the Party 🎉 is about insights into real-world AI without the hype.
Hello internet,
I got really inspired by all the projects people presented at the ITU this week. So let’s carry over this excitement and dive right in:
The Latest Fashion
- Validating deep learning models can be complicated. Deepchecks provides a full suite (even on computer vision and tabular tasks) of checks to run against your system, including correlation and drift checks! Here’s the quickstart notebook.
- Lying with statistics is dangerous. But here are 6 ways people discredit valid statistical results and data science results without an actual basis.
- Testing Python code with production data can be a privacy nightmare. Faker is a package that generates believable but fake data for all your fake data needs.
My Current Obsession
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