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Monday Replay: “Enabling Fastai Multi-GPU/DDP Training in Jupyter Notebook” (SF Python, February 12)

Here’s the second post in our “Monday Replay” series. Once again, this lightning talk came out of the February 12, 2020 SF Python Meetup where the IBM Data Science Community was happy to be the sponsor for video post-production. The presenter is Phillip K.S. Chu ( GitHub ). Enjoy! ...

Discussion Thread 5

Unable to Publish Directly from Jupiter Notebook

Blog Entry

How IBM and a supply chain company predict employee retention

Context The IBM Data Science Elite (DSE) is a team of data scientists and data engineers who work with a select group of IBM clients to test and implement data science solutions — at no additional cost to those clients. The DSE team is the result of a stark reality that companies...

Blog Entry

What good are notebooks? Bridging the data science skills gap with collaboration (IBM Big Data & Analytics Hub)

This blog is posted on IBM Big Data & Analytics Hub here: https://www.ibmbigdatahub.com/blog/bridging-data-science-skills-gap-collaboration ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ What good are notebooks? Bridging the data science skills gap with collaboration May 10, 2019 ...

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Challenged using #Jupyter Notebooks at scale in your organization?

Challenged using #Jupyter Notebooks at scale in your organization? Sam Charrington (@samcharrington) and Luciano Resende (@lresende1975) spent some time discussing these challenges and the role of open source projects, like Jupyter Hub (LINK) and Jupyter Enterprise Gatweay , in making this...