Cloudera Fast Forward Labs
@fastforwardlabs
Making the recently possible useful @Cloudera, with applied machine learning research, prototypes and strategy.
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https://blog.fastforwardlabs.com 10-06-2014 03:25:40
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New research alert! Our own @andrew_reed_r and Nisha Muktewar have been exploring the issue of detecting concept drift when the cost of obtaining labeled data to validate model performance is high. Check out our latest report here: concept-drift.fastforwardlabs.com
In case you missed this one: a very thorough review by Cloudera Fast Forward Labs on how to infer concept drift when labeled data is not readily accessible 👇🏼 concept-drift.fastforwardlabs.com
Wondering how to achieve continuous model monitoring on Cloudera Machine Learning (CML)? Checkout our newly released Applied ML Prototype by Andrew Reed that shows you how using Evidently AI's drift monitoring reports! #MLOps github.com/cloudera/CML_A…
We've been exploring the NLP task of Text Style Transfer here Cloudera Fast Forward Labs. Check out our recent blog post where we apply Hugging Face transformers to neutralize subjectivity bias in text. Stay tuned for a Part 2 continuation of this work! blog.fastforwardlabs.com/2022/05/05/neu…
Excited to share that Part 3 of the Cloudera Fast Forward Labs technical blog series on Text Style Transfer is out! In this post, we explore and implement task-specific metrics for evaluating two criteria: style transfer strength & content preservation. blog.fastforwardlabs.com/2022/07/11/aut…
Through this report, we explore text style transfer through an applied use case – neutralizing subjectivity bias in text. Cloudera Fast Forward Labs #DataScience #NLP hubs.li/Q01v8NWj0