Remove topics states-localities
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Meet the winners of the Pale Blue Dot challenge

DrivenData Labs

The top countries, in order, were Bangladesh, Brazil, India, the United States, and Argentina. These data sources spanned an impressive range of topics and formats. Combining large-scale Earth observation data with other data types enabled many participants to better understand specific issues or locales.

Power BI 264
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Topic Modeling on Customer Reviews using BERTopic and Llama2

Towards AI

Topic Modeling on Customer Reviews using BERTopic and Llama2 A Quick Guide to Creating Interpretable Topics from Customer Reviews with BERTopic and Llama2 using Ollama. Topic modeling is a technique that facilitates the discovery of main themes and topics within a vast collection of text documents.

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Google CEO Sundar Pichai Compares AI to Climate Change

ODSC - Open Data Science

With that said, he said that if AI goes wrong in one country, it could have an impact on others; making it difficult to regulate locally. Back in August, tech leaders met with congressional leaders specifically on the topic of AI. But it’s not just the United States. I think that’s true for AI.”

AI 52
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Comprehensive Guide: Top Computer Vision Resources All in One Blog

Mlearning.ai

I planned to add topics in a systematic way as we work on a computer vision project. Examples that fall within a specific topic or domain are typically included in datasets. Also, you can suggest topics to add to make it more useful for newbies as well as for all computer vision engineers. The real state-of-the-art?

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A New Way to Personalize Learning, Thanks to AI

Flipboard

What if teachers had the ability to personalize lessons around the topics students care most about — in the moment? Lower states, “Using eSpark has enhanced our reading experience. I think we are all a little nervous about AI because we are still learning about it,” Lower states. “If Image Credit: eSpark.

AI 123
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Software infrastructure 2.0: a wishlist

Hacker News

And it's also super slow to do it, and any time I make a mistake, I end up in some weird state where maybe I broke something terribly and I might have to start over. It's sad this is the current state of infrastructure. Serverless doesn't mean it's a burstable VM that saves its instance state to disk during periods of idle.

Database 182
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PPML Series #1 - An introduction to Federated Learning

Shreyansh Singh

I had some idea about the topic but didn’t get into it much. Federated Learning is a decentralised machine learning approach which allows to leave the training data on the individual devices and learns a shared model by aggregating locally computed gradient updates. So, I decided to start with FL this time.