Constantine Caramanis
@cmcaram.bsky.social
Professor at UT Austin. Research in ML & Optimization. Always rethinking how I teach. Amateur accordion player. Committed bike commuter. Online classes in English & Greek. https://caramanis.github.io/
Congratulations!
August 4, 2025 at 3:46 PM
Congratulations!
Sounds interesting!
March 14, 2025 at 3:54 PM
Sounds interesting!
The class material is based on years of #teaching and #research at @utexasece.bsky.social @cockrellschool.bsky.social
January 29, 2025 at 7:11 PM
The class material is based on years of #teaching and #research at @utexasece.bsky.social @cockrellschool.bsky.social
🔔 Please forward to anyone who would be interested in the material, or anyone interested in AI education in Greece. If either of those is you, get in touch!
#MachineLearning #AIEducation #GreekTech #STEM #ComputerScience #HighSchoolEducation #Greece #Python #DeepLearning #τεχνητή #νοημοσύνη
#MachineLearning #AIEducation #GreekTech #STEM #ComputerScience #HighSchoolEducation #Greece #Python #DeepLearning #τεχνητή #νοημοσύνη
January 29, 2025 at 6:04 PM
🔔 Please forward to anyone who would be interested in the material, or anyone interested in AI education in Greece. If either of those is you, get in touch!
#MachineLearning #AIEducation #GreekTech #STEM #ComputerScience #HighSchoolEducation #Greece #Python #DeepLearning #τεχνητή #νοημοσύνη
#MachineLearning #AIEducation #GreekTech #STEM #ComputerScience #HighSchoolEducation #Greece #Python #DeepLearning #τεχνητή #νοημοσύνη
The lectures alternate between slide-based explanations & Colab-based coding sessions, giving students the chance to learn from real code and apply it on their own.
📚 Lots of hands-on learning!
📚 Lots of hands-on learning!
January 29, 2025 at 6:04 PM
The lectures alternate between slide-based explanations & Colab-based coding sessions, giving students the chance to learn from real code and apply it on their own.
📚 Lots of hands-on learning!
📚 Lots of hands-on learning!
The course is designed for motivated (high school) students. It introduces key ideas in ML, and quickly develops coding tools in Python and PyTorch so students can design and build neural networks, and use them to address interesting and important real-world problems.
January 29, 2025 at 6:04 PM
The course is designed for motivated (high school) students. It introduces key ideas in ML, and quickly develops coding tools in Python and PyTorch so students can design and build neural networks, and use them to address interesting and important real-world problems.