Snorkel AI

JULY 6, 2023

And I saw countless projects that were stalled due to the lack of data, or bad data, or simply because of how long it took to get good data. So here is a warehouse generated in Omniverse. And here you can see all of the data that we are able to get from that one scene. So without further ado, let’s get it started.

AI 59

AI AI Deep Learning Deep Learning 59

Snorkel AI

JULY 6, 2023

And I saw countless projects that were stalled due to the lack of data, or bad data, or simply because of how long it took to get good data. So here is a warehouse generated in Omniverse. And here you can see all of the data that we are able to get from that one scene. So without further ado, let’s get it started.

AI 59

AI AI Deep Learning Deep Learning 59

Hacker News

FEBRUARY 24, 2024

After weeks of confusion and intentional chaos, Apple's plan to kneecap the web has crept into view, menacing a PWApocalypse as the March 6th compliance deadline approaches for the EU's Digital Markets Act (DMA). The view from Cupertino. But Apple knows it has native stores right where it wants them. Meanwhile, potential competitors are only that.

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Explosion

AUGUST 21, 2016

Humans interact with computers through interfaces, and the design, user experience and technology of those interfaces determines the quality of those interactions. While researchers rightly focus on better algorithms, there are a lot more things to be done. Its web application helps the human annotator focus on one binary decision at a time.

Artificial Intelligence 40

Artificial Intelligence Artificial Intelligence AI AI 40

The MLOps Blog

AUGUST 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Thanks for having me. What is DAGWorks?

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ML ML Data Scientist Machine Learning 52

The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Nice to have you here, Miki.

ML 52

ML ML Data Scientist Machine Learning 52

Explosion

MAY 17, 2023

The need to work with text or speech data somewhat intelligently is pretty fundamental. In 2014 I started working on spaCy , and here’s an excerpt of how I explained the motivation for the library: Computers don’t understand text. Companies have been using language technologies for many years now, often with mixed success.

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Supervised Learning Natural Language Processing Clustering Machine Learning 135