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Prodigy might be a bit more popular than Google's Python Class. We know about 25 links to it since March 2021 and only 23 links to Google's Python Class. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is really cool. The annotation-to-testing-to-annotation-etc. Feedback loop makes a ton of sense, and I'd encourage others who may be confused on this post to look at the Automotus case study https://encord.com/customers/automotus-customer-story/ for the annotation side, but my understanding is the relationship between model outputs and annotation steering is out of scope for that project - do you know of... - Source: Hacker News / over 2 years ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / almost 3 years ago
Prodigy AI - Offers software engineers career coaching, skill assessment, and job matching. Visit Prodigy AI. - Source: dev.to / about 3 years ago
I essentially want to use a Combo of OCR + NER to attempt to identify this, but I'm not sure NER is well suited for this, as it is not natural language, so there is little context to go off of. I was thinking of perhaps using Prodigy, a data annotation tool, to annotate Candidate Names, Races, etc, and perhaps it will be able to learn off of image data alone wheat these fields tend to look like. Source: over 3 years ago
I come from a similar application area, where I try to tag (annotation/label) a taxonomy of products iteratively. You are trying something slightly different, AFAIU, labeling a flat set of songs, each song with a set of tags from ontology (directed graph)From an application point of view, this is what taxonomists often do, when migrating products from one catalog to another: mapping one taxonomy to another. There... Source: over 3 years ago
Decided to write this post. I will be studying from: 1)https://developers.google.com/edu/python 2)https://www.py4e.com/ 3)https://realpython.com/. - Source: dev.to / about 1 year ago
Https://youtu.be/rfscVS0vtbw Https://developers.google.com/edu/python/. Source: about 3 years ago
The original Google Python crash course was made for people like you in mind! Self paced with exercises set up for you to jump right in. Source: over 3 years ago
Google Education Python Course: https://developers.google.com/edu/python/. Source: over 3 years ago
This is how I started, and was enough to get me started on a large automation project for work: https://developers.google.com/edu/python. Source: almost 4 years ago
Enovia - ENOVIA offers product lifecycle management (PLM) solutions fosteringย innovation and operational excellence across industries.
Think Python - Learning Resources
Propel - Salesforce-native PLM, QMS, and PIM. Connect your product and commercial teams seamlessly to create winning products.
The New Boston video series - Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Omnify PLM - Omnify PLM is a business-ready product lifecycle management solution.
A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.