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[DATASCIFRI] Data Science Fridays: Dive into Data!

Posted 7 months ago

Hi everybody! We're running a series of Data Science Friday webinars starting this coming Friday (Oct. 6, 2023) and running through the end of the month. This series will help you get a sense of how to work with data in Wolfram Language—importing, cleaning, visualizing and more with data spanning from traffic cameras to geological surveys to Mars and even other galaxies!

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The first webinar—again, that's this Friday, October 6 2023—will be lead by @Tom Sherlock and will cover how to create the amazing images he shows in this notebook by using data from the James Webb Space Telescope. This webinar will primarily focus on image analysis and construction, with later webinars focusing on video creation, geographic visualization and even a combination of graph theory, image processing and machine learning.

You can register for this series HERE. All sessions will start at noon Central US time. Remember that even if you can't make it to every Friday session, registration means that you'll get a link to the recordings delivered right to your inbox. We hope to see you there!

I will update this post each week with information on that Friday's presentation; please feel free to post follow-up questions or comments here as well.

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POSTED BY: Arben Kalziqi
4 Replies

Hi everybody! We're just about to get started with Abdul Ghani's talk on avoiding London traffic by applying graph theory to data from images taken with traffic light cameras.

POSTED BY: Arben Kalziqi

Tony's filled-out notebook should now be available in the Materials folder which is linked in the email that goes out to all registrants.

See you next Friday!

POSTED BY: Arben Kalziqi

Hi everyone—this Friday we'll be hosting a talk by Tony Aristeidou about how to create videos of the Martian surface using images from NASA's rover program!

POSTED BY: Arben Kalziqi

Hi Arbin, Two questions about urls referenced in the two presentation. Can you post the JWST web site url and the NASA API website? Thanks for the great classes,

POSTED BY: laurence bloxham
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