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Data News — Week 23.04

Christophe Blefari

My view from the train window ( credits ) Dear Data News readers it's a joy every week to write this newsletter, we are slowly approaching the second birthday of this newsletter. This is enough about my life, let's jump to the news. In this category I'll share stuff that we can do with data.

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Data News — Week 23.11

Christophe Blefari

It also means that if you have any questions that you want me to ask you can send them to me beforehand 🫠 Gen AI 🤖 I will create a specific category for generative AI. This blog shows how you can automate it with a CI and definitions in exposures. On the other side Google announced the same for Google Docs and Gmail.

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Data News — Week 23.08

Christophe Blefari

This is something I struggle with, I really like writing, I really like this newsletter, I really like the blog, but it takes me one day per week to be done. A bit of infrastructure This week I've seen a lot of articles that I can put under the infrastructure category, so here we are. I'm open to all honest feedbacks.

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Welcome to The Robinhood Newsroom

Robinhood

Stay up-to-date on the latest company news and blog content The Robinhood Newsroom is now live. The Under the Hood blog site and Robinhood content on the Medium site will now redirect people to the Robinhood Newsroom where they can find the latest company news and blog content.

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Data News — Week 22.48

Christophe Blefari

Joe Reis launched his Substack — Joe is the co-author of the great The Fundamentals of Data Engineering and his blog already have 2 articles I deeply recommend: No extra credit for complexity & Groundhog Days. This post tries to show how data team should work with finance team to avoid this spat.

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How to learn data engineering

Christophe Blefari

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. In this category I recommend also to have a look at data ingestion (Airbyte, Fivetran, etc.), Read technical blogs, watch conferences and read 📘 Designing Data-Intensive Applications (even if it could be overkill).

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New Applied ML Research: Few-shot Text Classification

Cloudera

For example, recommendation systems rely on properly classifying text content such as news articles or product descriptions in order to provide users with the most relevant information. And in the world of e-commerce, assigning product descriptions to the most fitting product category ensures quality control. .