Add some Stats, misc ML courses (#387)

* Add UCSanDiegoX DSE 220X

* Add UofSC CSCE 585 (2020)

* Add UC Berkeley Statistics 243 (FA15)
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  1. 3
      README.md

@ -434,6 +434,7 @@ Table of Contents
- [SFU CMPT 727 Statistical Machine Learning spring 2022, 2023, by Maxwell Libbrecht](https://www.youtube.com/playlist?list=PL_5SuHtr8fsp95AhIKeTHbpcVdhlhB9h6)
- [UC Berkeley CS 189 / 289A Introduction to Machine Learning fall 2023, by Jennifer Listgarten & Jitendra Malik](https://eecs189.org/)
- [UC Berkeley CS 189 Introduction to Machine Learning (CDSS offering) spring 2022, by Marvin Zhang](https://www.youtube.com/playlist?list=PLCuQm2FL98HTlRmlwMk2AuFEM9n1c06HE)
- [UC San Diego/edX DSE 220X Machine Learning Fundamentals, by Sanjoy Dasgupta](https://www.youtube.com/playlist?list=PLUPLKa8g2P75vrLVe6HKdgAwfuU89RfqB)
- [MIT 6.036 Introduction to Machine Learning spring 2019, by Leslie Kaelbling](https://www.youtube.com/playlist?list=PLQEw29vp6f1Ae9dp8vkKB8H6sF1PHvP5N)
- [LMU Munich Introduction to Machine Learning](https://slds-lmu.github.io/i2ml/)
- [UCLA Stats C161/C261 Introduction to Pattern Recognition and Machine Learning winter 2024, by Arash Amini](https://www.youtube.com/playlist?list=PLN_qg0-2-0SxQ2vlXxlZVMKkt4gI1YYP8) ([Winter 2023](https://www.youtube.com/playlist?list=PLN_qg0-2-0SwLCXGUyM3FNSRwG6GNgONr))
@ -659,6 +660,7 @@ Table of Contents
- [University of Maryland CMSC828U Algorithms in Machine Learning: Guarantees and Analyses fall 2020, by Furong Huang](https://www.cs.umd.edu/class/fall2020/cmsc828u//schedule/) ([YouTube playlist](https://www.youtube.com/playlist?list=PLM0SC1uXFSPo5TO_UN7fia1luj73yuHEC))
- [Statistical Physics of Machine Learning](https://www.youtube.com/playlist?list=PL04QVxpjcnjgzMr9ehyZUSkwu0Wr0cF_N)
- [11-755 - Machine Learning for Signal Processing, CMU](https://cmu-mlsp.github.io/mlspcourse/schedule/) ([YouTube-2024](https://www.youtube.com/playlist?list=PLWhigAi1mTpO3Rw-1D2b2AowYeIU5eRzD), [YouTube-2023](https://www.youtube.com/playlist?list=PLWhigAi1mTpPMV3hECmkEv3s8Lc8H_VUd))
- [CSCE 585 - Machine Learning Systems, University of South Carolina](https://pooyanjamshidi.github.io/mls/lectures/) ([YouTube-2020](https://www.youtube.com/playlist?list=PLtkQf9LiEmLFS56WTpRJ3PZwwCYyi2Cdu))
------------------------------
@ -780,6 +782,7 @@ Table of Contents
- [Advanced Engineering Mathematics - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85Ae4pzlylMLzq_a-RHPx8ryA)
- [Statistical Computing for Scientists and Engineers - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AeltIRcjDY7Z4q49NEAuMcA)
- [Statistical Computing, Fall 2017 - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AcSgNGnT5TUHt85SrCljT3V)
- [Statistics 243 Introduction to Statistical Computing, Fall 2015 - UC Berkeley](https://www.youtube.com/playlist?list=PLIygTcviGPKCJjCMep25BtbRwehuNTd-l) ([Notes-2015](https://github.com/berkeley-stat243/stat243-fall-2015)) ([YouTube-2014](https://www.youtube.com/playlist?list=PLIygTcviGPKDwAtmOYy_dY_tPuE_8Gc68)) ([Notes-2014](https://github.com/berkeley-stat243/stat243-fall-2014)) ([YouTube-2013](https://www.youtube.com/playlist?list=PLIygTcviGPKBj_b9jy_ZkQM3v4r9iLocO))
- [Mathematics for Machine Learning, Lectures by Ulrike von Luxburg - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij1a6KdEy8PVE9zoCv6SlHRS)
- [Essential Mathematics for Machine Learning- July 2018 - IIT Roorkee - YouTube Lectures](https://www.youtube.com/playlist?list=PLLy_2iUCG87D1CXFxE-SxCFZUiJzQ3IvE)
- [Numerics of Machine Learning (Winter 2022/23) - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij2lwDdj7IkuHoP9vHlEcH0s)

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