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Building A Multilingual NER App with HuggingFace

Towards AI

After building the app, it looks like this: The multilingual NER app we’ll build in this blog (GIF by Author) Note that you can access the notebook we’ll use in this blog from our GitHub repo or our Kaggle page. This is what we’re going to do in this blog. Finally, we’ll monitor this app in the Comet library.

ML 52
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Best of Tableau Web: August 2022

Tableau

During my four years with Tableau, I’ve had the privilege to engage with amazing people who gave the gift of content, from beginner to advanced—spanning blogs, videos, Tweets, podcasts, and more. . There’s a real opportunity to amplify diverse voices and perspectives through our stories, blogs, and content. . Image: She Will Viz.

Tableau 98
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Best of Tableau Web: August 2022

Tableau

During my four years with Tableau, I’ve had the privilege to engage with amazing people who gave the gift of content, from beginner to advanced—spanning blogs, videos, Tweets, podcasts, and more. . There’s a real opportunity to amplify diverse voices and perspectives through our stories, blogs, and content. . Image: She Will Viz.

Tableau 96
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A Decade of Have I Been Pwned

Hacker News

The very next day I published a blog post about how I made it so fast to search through 154M records and thus began a now 185-post epic where I began detailing the minutiae of how I built this thing, the decisions I made about how to run it and commentary on all sorts of different breaches. And then ensured could never happen again.

AWS 174
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How to build a simple data visualization web app with Neo4j

Cambridge Intelligence

You’ll see that there are different queries for each of the node types, a question, answer, tag, user and comment. We need to inspect the Neo4j tag to determine the correct type in this case, then we’ll know which field to use as the node label in KeyLines. Neo4j’s example dataset provides the perfect source material for our tutorial.

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N-grams and How to Implement Them With the Python NLTK Library

Heartbeat

Part of speech tagging. Let’s look at how the above n-grams would look when implemented with the following sentence: “Natural Language Processing using N-grams is incredibly awesome.” from nltk.util import ngrams sentence = "Natural Language Processing using N-grams is incredibly awesome." Sentiment analysis.

Python 52
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Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker

AWS Machine Learning Blog

For more information about using the Transformers and PEFT libraries to train pLMS, check out the posts Deep Learning With Proteins and ESMBind (ESMB): Low Rank Adaptation of ESM-2 for Protein Binding Site Prediction on the Hugging Face blog.

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