❇️ Advanced Machine Learning Courses:
1.
💠 https://cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/index.html
💠 https://youtube.com/playlist?list=PL4DwY1suLMkcu-wytRDbvBNmx57CdQ2pJ&jct=q4qVgISGxJql7TlE6eSLKa8Wwci8SA
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2.
💠 https://www.cs.toronto.edu/~rsalakhu/STA4273_2015/lectures.html
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3.
💠 https://www.mit.edu/~9.520/fall15/index.html
💠 https://youtube.com/playlist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O
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4.
💠 https://lcsl.mit.edu/courses/regml/regml2016/
💠 https://youtube.com/playlist?list=PLbF0BXX_6CPJ20Gf_KbLFnPWjFTvvRwCO
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5.
💠 https://stat.cmu.edu/~larry/=sml/
💠 https://youtube.com/playlist?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE
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6.
💠 https://stat.cmu.edu/~ryantibs/convexopt-S15/
💠 https://youtube.com/playlist?list=PLjbUi5mgii6BZBhJ9nW7eydgycyCOYeZ6
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7.
💠 https://cs.cmu.edu/~epxing/Class/10708-14/lecture.html
💠 https://cs.cmu.edu/~epxing/Class/10708-16/lecture.html
1.
💠 https://cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/index.html
💠 https://youtube.com/playlist?list=PL4DwY1suLMkcu-wytRDbvBNmx57CdQ2pJ&jct=q4qVgISGxJql7TlE6eSLKa8Wwci8SA
————————————————
2.
💠 https://www.cs.toronto.edu/~rsalakhu/STA4273_2015/lectures.html
————————————————
3.
💠 https://www.mit.edu/~9.520/fall15/index.html
💠 https://youtube.com/playlist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O
————————————————
4.
💠 https://lcsl.mit.edu/courses/regml/regml2016/
💠 https://youtube.com/playlist?list=PLbF0BXX_6CPJ20Gf_KbLFnPWjFTvvRwCO
————————————————
5.
💠 https://stat.cmu.edu/~larry/=sml/
💠 https://youtube.com/playlist?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE
————————————————
6.
💠 https://stat.cmu.edu/~ryantibs/convexopt-S15/
💠 https://youtube.com/playlist?list=PLjbUi5mgii6BZBhJ9nW7eydgycyCOYeZ6
————————————————
7.
💠 https://cs.cmu.edu/~epxing/Class/10708-14/lecture.html
💠 https://cs.cmu.edu/~epxing/Class/10708-16/lecture.html
YouTube
MIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015
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❇️ Opportunities for doctoral studentships in Quantum Computing
Dear Q-enthusiasts,
in the framework of the CERN Quantum Technologies initiative,
CERN openlab is providing opportunities for Doctoral Student to work on
Quantum Computing algorithms and applications. All the information on
how to apply are here:
https://careers.cern/students
The selection will be done via the normal procedure of the CERN doctoral
student program. Please be aware that the deadline for application is
March 25th. Do not hesitate to contact me if you need more information.
Thanks and best regards,
Federico Carminati
Chief Innovation Officer
CERN openlab
1211 Geneva 23
Switzerland
Dear Q-enthusiasts,
in the framework of the CERN Quantum Technologies initiative,
CERN openlab is providing opportunities for Doctoral Student to work on
Quantum Computing algorithms and applications. All the information on
how to apply are here:
https://careers.cern/students
The selection will be done via the normal procedure of the CERN doctoral
student program. Please be aware that the deadline for application is
March 25th. Do not hesitate to contact me if you need more information.
Thanks and best regards,
Federico Carminati
Chief Innovation Officer
CERN openlab
1211 Geneva 23
Switzerland
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💠 https://www.matthewtancik.com/nerf
❇️ We present a method that achieves state-of-the-art results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views.
❇️ We present a method that achieves state-of-the-art results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views.
❇️ Python codes implementing algorithms described in Bishop's book "Pattern Recognition and Machine Learning"
https://github.com/ctgk/PRML
https://github.com/ctgk/PRML
GitHub
GitHub - ctgk/PRML: PRML algorithms implemented in Python
PRML algorithms implemented in Python. Contribute to ctgk/PRML development by creating an account on GitHub.