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As I've mentioned last week, I've been working on extracting stats from my jobs' feed at Upwork.com. The goal is to understand which are the most sought-out data science and data engineer skills. I'm building an ETL pipeline for this. If this is something that you'd be interested - wether it's for Data Science or not - ping me on twitter.
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The reason why math and programming go hand-in-hand:
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Remember to check the most popular Reddit posts this week on data-related boards. 👇
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Free ebook! "Introduction to Probability for Data Science" by Stanley Chan. Download here.
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NLP: How to train BERT for Q&A. link
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FooDI-ML: a new large-scale multi-language dataset that contains over 1.5M unique images and over 9.5M store names, product names descriptions, and collection sections. link
Let's keep in touch, Pedro.
website | twitter | medium | github | stackoverflow | linkedin
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