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How to JOIN datasets in Polars … compared to Pandas.

Confessions of a Data Guy

It’s been a while since I wrote about Polars on this blog, I’ve been remiss. appeared first on Confessions of a Data Guy. appeared first on Confessions of a Data Guy.

Datasets 113
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How to get datasets for Machine Learning?

Knowledge Hut

Datasets are the repository of information that is required to solve a particular type of problem. Also called data storage areas , they help users to understand the essential insights about the information they represent. Datasets play a crucial role and are at the heart of all Machine Learning models.

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Data Engineering Weekly #166

Data Engineering Weekly

dbt: 2024 State of Analytics Engineering The 2024 dbt’s state of analytical engineering report is out. Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises.

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Data Engineering Weekly #161

Data Engineering Weekly

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup.

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Data News — Week 24.16

Christophe Blefari

easy ( credits ) Hey, new Friday, new Data News. It was trained on a large dataset containing 15T tokens (compared to 2T for Llama 2). This blog shows how you can use Gen AI to evaluate inputs like translations with added reasons. This week, I feel like the selection is smaller than usual, so enjoy the links.

MySQL 130
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Data Engineering Weekly #162

Data Engineering Weekly

Editor’s Note: Chennai Meetup Wrap-Up & Preparation work started for DEWCon I am so grateful for the enthusiastic participants who made our Chennai Data Heroes- Community for Data Folks meetup vibrant! Big thanks to our insightful speakers, Hareshkumar Selvakumar - Talks about his work on Data Products for PayPal.

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GPT-based data engineering accelerators

RandomTrees

GPT-based data engineering accelerators make the working of data more accessible. These accelerators use GPT models to do data tasks faster, fix any issues, and save a lot of time. GPT models change data in simple language and also provide summaries and explanations. One can rely on this information.