Data-Driven Methods and Machine Learning in Atmospheric Sciences - IISC

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      README.md

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- [Big Data Systems (WT 2019/20) - Prof. Dr. Tilmann Rabl - HPI](https://www.tele-task.de/series/1286/)
- [Distributed Data Analytics (WT 2017/18) - Dr. Thorsten Papenbrock - HPI](https://www.tele-task.de/series/1179/)
- [Introduction to Data-Centric AI - MIT](https://dcai.csail.mit.edu/)
- [Parallel Computing and Scientific Machine Learning](https://www.youtube.com/playlist?list=PLCAl7tjCwWyGjdzOOnlbGnVNZk0kB8VSa)
- [Parallel Computing and Scientific Machine Learning](https://www.youtube.com/playlist?list=PLCAl7tjCwWyGjdzOOnlbGnVNZk0kB8VSa)
- [Machine Learning System Design - System Design Fight Club](https://www.youtube.com/playlist?list=PLlvnxKilk3aKx0oFua-HTtFf-d_inQ8Qn)
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- [Astronomical data analysis using Python 2021 - NRC IUCAA](https://www.youtube.com/playlist?list=PL3jLiVc5sr3P7Uov0VFsEfwPOEG1rF-FO)
- [SPARC Workshop on Machine Learning in Solar Physics and Space Weather - CESSI IISER Kolkata](https://www.youtube.com/playlist?list=PLtxxbMktGS8pjURPBXJTAkClnXVE_ZNni)
- [Data-Driven Methods and Machine Learning in Atmospheric Sciences - IISC](https://www.youtube.com/playlist?list=PLnUDCXHuQXBaGrYSbDMWi2inp7GSe3__8)
- [Computational Astrophysics - AstroTwinCoLo, 2015](https://www.youtube.com/playlist?list=PLPdkBLbDPtqoHDcjUweIJqe6GKnOz0-Qw)
- [Astroinformatics 2019 Conference - Caltech](https://m.youtube.com/playlist?list=PL8_xPU5epJdcv2L4MzpzNd6gPyq6glmjc)
- [Space Science with Python - Astroniz](https://www.youtube.com/playlist?list=PLNvIBWkEdZ2iCc8G9dvx6MQvBruJG-TE8)

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