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Posts tagged NLP
“ML Data” : The past, present and future
Data is critical for ML. But it wasn't always this way. Learn about how focusing on ML Data quality came to become the central figure for the best ML teams today.
4 Types of ML Data Errors You Can Fix Right Now ⚡️
In this article, Galileo founding engineer Nikita Demir discusses common data errors that NLP teams run into, and how Galileo helps fix these errors in minutes, with a few lines of code.
🔭 Improving Your ML Datasets, Part 2: NER
We used Galileo on the popular MIT dataset with a NER task, to find data errors fast, fix them, get meaningful gains within minutes, and made the fixed dataset available for use.
🔭 What is NER And Why It’s Hard to Get Right
In this post, we discuss the Named Entity Recognition (NER) task, why it is an important component of various NLP pipelines, and why it is particularly challenging to improve NER models.
🔭 Improving Your ML Datasets With Galileo, Part 1
We used Galileo on the popular Newsgroups dataset to find data errors fast, fix them, get meaningful gains within minutes, and made the fixed dataset available publicly for use.
5 Principles You Need To Know About Continuous ML Data Intelligence
Build better models, faster, with better data. We will dive into what is ML data intelligence, and it's 5 principles you can use today.
Working with Natural Language Processing?
Read about Galileo’s NLP Studio
