Space Science with Python - Cassini #4: Machine Learning based calibration

Repository: https://github.com/ThomasAlbin/Astroniz-YT-Tutorials/blob/main/%5BProject%5D-Cassini-CDA/01-Calibration/03_machine_learning_calibration.ipynb After taking a look at the already existing calibration functions, today, we will try to create a first "machine learning toy model" to calibrate CDA. For this purpose, we use Tensorflow and its high-level API keras. In the following videos we will refine our calibration attempt to create a production-ready model for future scientific analysis. Credit - Thumbnail: NASA/JPL-Caltech --- Content 0:00 Introduction 1:32 Coding - Intro 2:21 Coding - Read in the data 3:07 Coding - Plotting the calibration data in 3D 6:59 Coding - Data preparation 9:12 Coding - Machine Learning Training 13:35 Coding - Solution space in 3D 17:06 Summary & Outlook --- How to setup a local dev environment: https://www.youtube.com/watch?v=PWzvRDylbQA --- There is a lot to do and to learn and I hope you will join the journey. Meanwhile, if you have questions or ideas, reach out to me via: Mastodon: https://astrodon.social/@ThomasAlbin Twitter: https://twitter.com/MrAstroThomas Reddit: https://www.reddit.com/user/MrAstroThomas GitHub: https://github.com/ThomasAlbin Or drop a comment! Talk to you later, Thomas #space #science #Python #tutorial #datascience #cassini #nasa #saturn #ml #ai #machinelearning #deeplearning

Tutorial on Artificial Intelligence: Deep Learning: Methodology Season #2/1.

Check out the Season 2 of our 12-episode web series dedicated to AI This 1st episode features Alexandre Valentian who walks us through the requirements for DeepLearning methodology, including the need to clearly define the problem and prepare & collect data ....So we hope this teaser makes you want to view and enjoy the first cap of Season#2 on Artificial Intelligence ! For more information ⏩Visit CEA-List Website: http://www-list.cea.fr/en/ ⏩Follow them on LinkedIn: linkedin.com/company/cealist ⏩Visit MIAI website: https://miai.univ-grenoble-alpes.fr/ ⏩Follow them on LinkedIn: linkedin.com/company/miai-grenoble-alpes/ ⏩ Visit our Website: https://www.leti-cea.com/cea-tech/leti... ⏩ Follow us on LinkedIn: linkedin.com/company/leti ⏩ Don't miss our corporate video : http://bit.ly/CEALeti 🔔 Subscribe to our channel: http://bit.ly/suscribe-CEALeti Thank you for watching !

Tutorial on Artificial Intelligence: Deep Learning: Methodology Season #2/1.

Check out the Season 2 of our 12-episode web series dedicated to AI This 1st episode features Alexandre Valentian who walks us through the requirements for DeepLearning methodology, including the need to clearly define the problem and prepare & collect data ....So we hope this teaser makes you want to view and enjoy the first cap of Season#2 on Artificial Intelligence ! For more information ⏩Visit CEA-List Website: http://www-list.cea.fr/en/ ⏩Follow them on LinkedIn: linkedin.com/company/cealist ⏩Visit MIAI website: https://miai.univ-grenoble-alpes.fr/ ⏩Follow them on LinkedIn: linkedin.com/company/miai-grenoble-alpes/ ⏩ Visit our Website: https://www.leti-cea.com/cea-tech/leti... ⏩ Follow us on LinkedIn: linkedin.com/company/leti ⏩ Don't miss our corporate video : http://bit.ly/CEALeti 🔔 Subscribe to our channel: http://bit.ly/suscribe-CEALeti Thank you for watching !

TWiML x Fast.ai Deep Learning Part 2 Study Group - Prep

This is a recording of the June 22nd TWiML revision study group session for the review of Practical Deep Learning for Coders (aka Part 1) course in preparation for Part 2. This session covers Lesson 1 & 2 of the course: Image Classification and Data cleaning and production; SGD from scratch. It’s not too late to join the study group. Just follow these simple steps: 1. Head over to twimlai.com/meetup, and sign up for the programs you're interested in, including either of the Fast.ai study groups or our Monthly Meetup groups. 2. Use the email invitation you’ll receive to join our Slack group. If you don’t receive it within a few minutes, check your spam folder. 3. Once you’re in Slack, join the #fast_ai channel and hop over to #intros as well and introduce yourself. 4. Use the link posted in the #meetup slack channel to add our events to your calendar. Subscribe! iTunes ➙ https://itunes.apple.com/us/podcast/twimlai Soundcloud ➙ https://soundcloud.com/twiml Google Play ➙ http://bit.ly/2lrWlJZ Stitcher ➙ http://www.stitcher.com/s?fid=92079&r RSS ➙ https://twimlai.com/feed Subscribe to our newsletter! ➙ https://twimlai.com/newsletter Lets Connect! Twimlai.com ➙ https://twimlai.com/contact Twitter ➙ https://twitter.com/twimlai Facebook ➙ https://Facebook.com/Twimlai Medium ➙ https://medium.com/this-week-in-machine-learning **SUBSCRIBE AND TURN ON NOTIFICATIONS**