Cloudera Fast Forward Labs
@FastForwardLabs
Making the recently possible useful @Cloudera, with applied machine learning research, prototypes and strategy.
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Through this report, we explore text style transfer through an applied use case – neutralizing subjectivity bias in text. @FastForwardLabs #DataScience #NLP hubs.li/Q01v8NWj0
I'll be speaking at #ODSCWest tomorrow (11/2) on our recent research, FF24: Text Style Transfer. Come say hello if you're at the conference! @cloudera @FastForwardLabs
My first @huggingface space! A @streamlit app that demonstrates how the #NLP task of Text Style Transfer can be applied to enhance the human writing experience. Suggest text re-writes between styles like: • Subjective to neutral • Informal to formal huggingface.co/spaces/cffl/Ex…
Excited to share that Part 3 of the @FastForwardLabs 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…
blog.fastforwardlabs.com
Automated Metrics for Evaluating Text Style Transfer
By Andrew Reed and Melanie Beck Blog Series This post serves as Part 3 of a four part blog series on the NLP task of Text Style Transfer. In this post, we expand our modeling efforts to a more...
We've been exploring the NLP task of Text Style Transfer here @FastForwardLabs. Check out our recent blog post where we apply @huggingface transformers to neutralize subjectivity bias in text. Stay tuned for a Part 2 continuation of this work! blog.fastforwardlabs.com/2022/05/05/neu…
blog.fastforwardlabs.com
Neutralizing Subjectivity Bias with HuggingFace Transformers
Blog Series This post serves as Part 2 of a four part blog series on the NLP task of Text Style Transfer. In this post, we expand our modeling efforts to a more challenging dataset and propose a set...
Wondering how to achieve continuous model monitoring on Cloudera Machine Learning (CML)? Checkout our newly released Applied ML Prototype by @andrewrreed that shows you how using @EvidentlyAI's drift monitoring reports! #MLOps github.com/cloudera/CML_A…
Building on our previous blog on Video Understanding, we're pleased to bring you Why and How Convolutions Work for Video Classification! Take a deep dive through space and time with us: blog.fastforwardlabs.com/2022/01/31/why…
blog.fastforwardlabs.com
Why and How Convolutions Work for Video Classification
Video classification is perhaps the simplest and most fundamental of the tasks in the field of video understanding. In this blog post, we’ll take a deep dive into why and how convolutions work for...
Check out our newest blog post, An Introduction to Video Understanding: Capabilities and Applications. In it we explore ML tasks associated with this field, as well some of their real world applications. You can find it here blog.fastforwardlabs.com/2021/12/14/an-…
blog.fastforwardlabs.com
An Introduction to Video Understanding: Capabilities and Applications
Video footage constitutes a significant portion of all data in the world. The 30 thousand hours of video uploaded to Youtube every hour is a part of that data; another portion is produced by 770...
Check out our newest blog post, The Rise of Unstructured Data. In it we explore how much data there is in the world, what types there are, and what that means for AI and businesses. You can find it here blog.cloudera.com/the-rise-of-un…
In case you missed this one: a very thorough review by @FastForwardLabs on how to infer concept drift when labeled data is not readily accessible 👇🏼 concept-drift.fastforwardlabs.com
New research alert! Our own @andrew_reed_r and @NishaMuktewar 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
Latest research cycle has dropped! Melanie and Chris spent the past couple of months exploring multi-objective hyperparameter optimization. Here's our write up, with links to some tutorial and experiment notebooks. blog.fastforwardlabs.com/2021/07/07/exp…
blog.fastforwardlabs.com
Exploring Multi-Objective Hyperparameter Optimization
By Chris and Melanie. The machine learning life cycle is more than data + model = API. We know there is a wealth of subtlety and finesse involved in data cleaning and feature engineering. In the same...
We're live in 2 hours, kids! 🥳
Tune in TOMORROW for the "Deep Learning for Automatic Offline Signature Verification" livestream with @FastForwardLabs! youtu.be/7_MlFxyPYSg
#Deeplearning for Offline Signature Verification. Interested in how the task of signature verification (a common use case in the banking/finance sector) can be addressed using #MachineLearning ? @andrew_reed_r and I wrote an introductory post blog.fastforwardlabs.com/2021/05/26/dee…
🤔 Quick question - How do banks/companies verify signatures today? 💡 Any pointers on the state of practice in industry and research would be helpful !! #signature #signatureverfication #deeplearning
Aaaand we're live! :)
Join ussssss. (On Wednesday.)
We are backkkk! Join us next week for a #livestream to talk about Session-based Recommender Systems @FastForwardLabs youtube.com/watch?v=JoRx6u…
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Fast Forward Live: Session-based Recommender Systems
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