citilife
- Karma
- 1,848
- Created
- February 27, 2018 (8y ago)
- Submissions
- 0
ML Research
- Evaluating Data Quality for Machine Learning Models at Scale (capitalone.com)
- Data Profiler – An Open Source Solution to Explain Your Data (capitalone.com)
- View Trends in Case Law (case.law)
- New List of Americans Tracked Without Needing a Warrant (newsweek.com)
- Covid-19 vs. the Economy (austingwalters.com)
- A eulogy for Richard Guy, 1916-2020 (aperiodical.com)
- Tiny Handcuffs (austingwalters.com)
- You Don’t Necessarily Need Data for Data Science (medium.com)
- AMD confirms 64-core Threadripper 3990X for 2020 (theverge.com)
- View Trends in Case Law (case.law)
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I'm curious what industry methods are used to detect concept/data drift. I've been through most of the Google Scholar selection, but am curious what methods in industry are used today.
- Permanent Record Edward Snowden (2019 Book) (static.macmillan.com)
- The Cache and Multithreading (austingwalters.com)
- TensorNetwork (By Google) (github.com)
- The Pay Scale (austingwalters.com)
- Identifying a users via their typing style (typingid.com)
- Edge Detection in Computer Vision (austingwalters.com)
- Sentence Classification with Neural Networks (Guide) (github.com)
- Introduction to Hyperparameter Tuning: Sentence Classification (austingwalters.com)