Insightful tour of Snorkel bit.ly/2Y073yH from Cloudera Fast Forward Labs Shioulin Sam Nisha Muktewar & notebook applying it to consumer financial complaints bit.ly/2SkfsIh. Thanks for the great feedback as we prepare v0.9 #snorkelML for release this August!

There's still time to register for our virtual event tomorrow! Learn about the latest research from Cloudera Fast Forward Labs. cloudera.com/about/events/w… #ML #NLP #DeepLearning #ImageAnalysis

We Cloudera Fast Forward Labs are hiring a machine learning research engineer - cloudera.wd5.myworkdayjobs.com/External_Caree…! Join our amazing team working on the forefront of ML research and industrial applications!

We're hiring! Cloudera Cloudera Fast Forward Labs is adding a data strategist to our team. Learn more here: cloudera.wd5.myworkdayjobs.com/External_Caree…

Why do #MachineLearning in the browser? What use cases make sense? Our very own Victor Dibia will answer these questions and more in his talk QCon San Francisco Software Development Conference this fall!

Looking forward to discussing anomaly detection with my colleague Nisha Muktewar . Will also have the excellent Meir TOLEDANO from @TeamAnodot sharing industry insights! It’s a free webinar, sign up!

Join us on at 1:00pm ET on Feb 13 as our very own Victor Dibia and Nisha Muktewar present a webinar on Deep Learning for Anomaly Detection with guest speaker Meir TOLEDANO! cloudera.com/about/events/w… #machinelearning #deeplearning

We've condensed hundreds of hours of thought and experimentation on Deep Learning for Anomaly Detection into a free report, because we want to help everyone do smart things responsibly. Love, Cloudera Cloudera Fast Forward Labs ff12.fastforwardlabs.com #MachineLearning #100DaysOfMLCode

My colleagues made updates to their previous research on ML Interpretability and this Thursday they'll walk you through how to use these techniques on Cloudera's ML platform, as well as access the FREE updated report for all - join us!

hi @totteh, came across your amazing blogposts on causal inference. We Cloudera Fast Forward Labs have been researching this topic lately, especially from the viewpoint of combining CI and ML. If possible, we would love to have a chat to hear your thoughts. Would you be interested?

We are happy to announce our next research topic: NLP for Automated Question Answering! This time, instead of waiting to release a report at the end of our research process, we thought it would be fun to invite you to join us *while we build.* blog.cloudera.com/developing-nlp… #ML #NLP

Inspiring as always!

My first reaction to this topic when Chris J. Wallace initially researched it was causal inference isn’t really practical. Of course, I was wrong. Find out why we need causality in ML and approaches that combine the two! cloudera.com/about/events/w…

Join us for an adventure into causality and find out why we've been spying on so many coyotes and raccoons lately 🦝 cloudera.com/about/events/w…

Honored and humbled, leon.bottou.org/news/causality…

Here Cloudera Fast Forward Labs we have been looking at question answer models. I just wrote a short post on How to Explain Hugging Face BERT for Question Answering NLP Models with TF 2.0 using Gradients medium.com/@victor.dibia/… . Towards Data Science 👩‍💻 Paige Bailey

Our new report on meta-learning is out! We explain the ideas behind it and test it out on the QuickDraw dataset: meta-learning.fastforwardlabs.com #MachineLearning

This will be a very cool role for someone! - product design - very early stage - Alice is one of the good humans

A related, inverse phenomenon I've seen often is when you explain a concept in clear terms to someone junior and they go, "no I want to understand the math". They've been trained to mistake the appearance of complexity (math notation) for the substance.

Potentially unpopular opinion but I am so bored of fighting over definitions, chinese rooms and qualias. We can automate aspects of human intelligence and create real economic value. Let's measure, characterize and focus on that.