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      README.md

@ -424,6 +424,7 @@ Table of Contents
- [Statistical Machine Learning - S2023 - Benyamin Ghojogh](https://www.youtube.com/playlist?list=PLPrxGIUWsqP2g7cpk0nFFt0c4aRcREq2s)
- [MIT 6.5940 EfficientML.ai Lecture, Fall 2023](https://www.youtube.com/playlist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB)
- [TinyML - Tiny Machine Learning at UPenn](https://www.youtube.com/playlist?list=PL7rtKJAz_mPe6kAbiH6Ucq02Vpa95qvBJ)
- [Machine Learning Hardware and Systems (Cornell Tech, Spring 2022)](https://www.youtube.com/playlist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6)
- [ECE 4760 (Digital Systems Design Using Microcontrollers) at Cornell for the Fall, 2022](https://www.youtube.com/playlist?list=PLDqMkB5cbBA5oDg8VXM110GKc-CmvUqEZ)
- [EfficientML.ai Lecture, Fall 2023, MIT 6.5940](https://www.youtube.com/playlist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB)
- [SFU CMPT 727 Statistical Machine Learning spring 2022, 2023, by Maxwell Libbrecht](https://www.youtube.com/playlist?list=PL_5SuHtr8fsp95AhIKeTHbpcVdhlhB9h6)
@ -538,7 +539,6 @@ Table of Contents
- [Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022](https://www.youtube.com/playlist?list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI)
- [ES 661 (2023): Probabilistic Machine Learning - IIT Gandhinagar](https://www.youtube.com/playlist?list=PLftoLyLEwECBEJyfRBJoSBd0UaTjEcs3I)
- [Information Retrieval in High Dimensional Data](https://www.youtube.com/playlist?list=PLaE1lKCe0jH3ePp9wCU1ygTquVOXY-UYv)
- [Trustworthy Machine Learning - Winter Semester 2023-2024, University of Tübingen](https://scalabletrustworthyai.github.io/courses/tml_winter_2324/)
- #### **Natural Language Processing**
- [CS 224N -Natural Language Processing with Deep Learning - Stanford University](http://web.stanford.edu/class/cs224n/) ([Lectures - Winter 2019](https://youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)) ([Lectures - Winter 2021](https://youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ))
@ -592,9 +592,6 @@ Table of Contents
- [10-725 Optimization Fall 2012 - CMU](http://www.cs.cmu.edu/~ggordon/10725-F12/schedule.html)
- [10-801 Advanced Optimization and Randomized Methods - CMU](http://www.cs.cmu.edu/~suvrit/teach/aopt.html) ([YouTube](https://www.youtube.com/playlist?list=PLjTcdlvIS6cjdA8WVXNIk56X_SjICxt0d))
- [AM 207 - Stochastic Methods for Data Analysis, Inference and Optimization, Harvard University](http://am207.github.io/2016/index.html)
- [UCSD CS292F Convex Optimization Spring 2020, by Yu-Xiang Wang](https://cseweb.ucsd.edu/~yuxiangw/classes/CS292F-2020Spring/) ([Youtube](https://www.youtube.com/playlist?list=PLTN4aNO9NiB5VxYILKPBXoy9g1tUqmnBx))
- [University of Wisconsin-Madison ISyE/Math/CS/Stat 525 Linear Optimization fall 2021, by Alberto Del Pia](https://www.youtube.com/playlist?list=PLeO_PhASIA0Ot69TqANAnNxoykHGOQp2Y)
- [University of Wisconsin-Madison ISyE/Math/CS 728 Integer Optimization (second part of the course) spring 2020](https://www.youtube.com/playlist?list=PLeO_PhASIA0NlDNF9y-SsgVEYcvAMj2CY)
- #### **Misc Machine Learning Topics**
- [Quantum Machine Learning | 2021 Qiskit Global Summer School](https://www.youtube.com/playlist?list=PLOFEBzvs-VvqJwybFxkTiDzhf5E11p8BI)
@ -609,7 +606,6 @@ Table of Contents
- [Statistical Rethinking Winter 2015 - Richard McElreath](https://www.youtube.com/playlist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_z)
- [Foundations of Machine Learning - Blmmoberg Edu](https://bloomberg.github.io/foml/#home)
- [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
- [Statistical Foundation of Reinforcement Learning - UCSD, by Yu-Xiang Wang, Spring 2021](https://cseweb.ucsd.edu/~yuxiangw/classes/RLCourse-2021Spring/) ([Youtube](https://www.youtube.com/playlist?list=PLTN4aNO9NiB5X8HkOBTkIfZ8VFSLH1W8W))
- [Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)](https://www.youtube.com/playlist?list=PLAQopGWlIcya-9yzQ8c8UtPOuCv0mFZkr)
- [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/)
@ -618,7 +614,7 @@ Table of Contents
- [Machine Learning System Design - System Design Fight Club](https://www.youtube.com/playlist?list=PLlvnxKilk3aKx0oFua-HTtFf-d_inQ8Qn)
- [UT Austin ECE 381V Bandits and Online Learning fall 2021, by Sanjay Shakkottai](https://docs.google.com/document/d/1r6jXNd1DD9o8v4q4XqxShRXWYdhtLMjEXWDzuv0T6LU/edit)
- [UCSD MATH 273B Information Geometry and its Applications winter 2022, by Melvin Leok](https://www.youtube.com/playlist?list=PLHZhjPByiV3L94AeJ9FcK1yrnRDOt3Vit)
- [Cornell ECE 5545 Machine Learning Hardware and Systems Spring 2022, by Mohamed Abdelfattah](https://www.youtube.com/playlist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6)
- [Cornell ECE 5545 Machine Learning Hardware and Systems spring 2022, by Mohamed Abdelfattah](https://www.youtube.com/playlist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6)
- [High Dimensional Analysis: Random Matrices and Machine Learning by Roland Speicher](https://rolandspeicher.com/lectures/course-on-high-dimensional-analysis-random-matrices-and-machine-learning-summer-term-2023/)([Youtube](https://www.youtube.com/playlist?list=PLY11JnnnTUCabY4nc0hKptrd5qEWtLoo2))
- [ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming](https://www.youtube.com/playlist?list=PLcByDTr7vRTYJ2s6DL-3bzjGwtQif33y3)
- [EE512A - Advanced Inference in Graphical Models, Fall Quarter, 2014](https://people.ece.uw.edu/bilmes/classes/ee512/ee512_fall_2014/)
@ -712,10 +708,6 @@ Table of Contents
- [UC Berkeley STAT 150 Stochastic Processes spring 2021, by Brett Kolesnik](https://www.youtube.com/playlist?list=PL682UO4IMem_H6exlt8NMfBSc0137_wlo)
- [UIUC Math 564 Applied Stochastic Processes fall 2016, by Kay Kirkpatrick](https://www.youtube.com/playlist?list=PL682UO4IMem-5C_U0ml6O2kM1s1Yo-D9D)
- [CS/ECE 561 - Probability and Info Theory in Machine Learning](https://mediaspace.wisc.edu/channel/CS_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning/191748913)
- [UCLA Stats 101C Statistical Models and Data Mining summer 2022, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKAYdlamMMGkNGJuKFVYvYER)
- [UCLA Stats 102A Introduction to Computational Statistics with R winter 2024, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKCiE3kiMI7ofuQ3wmXQUcmx)
- [UCLA Stats 102B Computation and Optimization for Statistics spring 2024, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKD4XftRgjRlTITljOx792YN)
- [UCLA Stats 102C Introduction to Monte Carlo Methods fall 2023, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKDv0fZ7RxMGPuaa1Yqx_bzh)
- **Linear Algebra**
- [Mathematical Foundations of Machine Learning (Fall 2021) - University of Chicago - Rebecca Willett](https://willett.psd.uchicago.edu/teaching/mathematical-foundations-of-machine-learning-fall-2021/)
- [18.06 - Linear Algebra, Prof. Gilbert Strang, MIT OCW](https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/)
@ -943,7 +935,6 @@ Table of Contents
### Security
- [Internet Security (WT 2018/19) - HPI University of Potsdam](https://www.tele-task.de/series/1227/)
- [6.1600 Foundations of Computer Security - MIT Fall 2023](https://61600.csail.mit.edu/2023/)
- [6.858 Computer Systems Security - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-858-computer-systems-security-fall-2014/video_galleries/video-lectures/)
- [CS 253 Web Security - Stanford University](https://www.youtube.com/playlist?list=PL1y1iaEtjSYiiSGVlL1cHsXN_kvJOOhu-)
- [CS 161: Computer Security, UC Berkeley](https://fa23.cs161.org/) ([Videos](https://www.youtube.com/playlist?list=PLfBkt1-_BHX_VxOWlmstguFxojSN742vz))
@ -974,9 +965,8 @@ Table of Contents
- [CSN11128 - Incident Response and Malware Analysis - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/CSN11128)
- [Internet Security for Beginners by Dr. Christoph Meinel - HPI](https://www.youtube.com/playlist?list=PLoOmvuyo5UAdsi-IacgZJQF1MRw0Ee-HH)
- [Offensive Security and Reverse Engineering, Chaplain University by Ali Hadi](https://www.youtube.com/playlist?list=PLCS2zI95IiNybAAQ0HL88YzwRpLXje5y6)
- [Computer Systems Security, Fall 2020, Vinod Ganapathy, IISc Bangalore](https://www.csa.iisc.ac.in/~vg/teaching/SecurityLectures/)
- [UC Berkeley CS 161 Computer Security, Summer 2021, by Nicholas Ngai and Peyrin Kao](https://www.youtube.com/playlist?list=PLIygTcviGPKAPoe_0mUsXYaxZfsFyQyFE)
- [UCSD CS291A Differential Privacy Fall 2021, by Yu-Xiang Wang](https://cseweb.ucsd.edu/~yuxiangw/classes/DPCourse-2021Fall/) ([Youtube](https://www.youtube.com/playlist?list=PLTN4aNO9NiB7UiBbSFznHRSkdieBc0-sk))
- [Computer Systems Security](https://www.csa.iisc.ac.in/~vg/teaching/SecurityLectures/)
- [UC Berkeley CS 161 Computer Security summer 2021, by Nicholas Ngai and Peyrin Kao](https://www.youtube.com/playlist?list=PLIygTcviGPKAPoe_0mUsXYaxZfsFyQyFE)
------------------------------

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