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Add some Embedded Systems, ML, RL courses (#468)

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* Add Toronto UofT ECE 1508 Reinforcement Learning (FA25)

* Add MIT Computational Biology (FA18/19)

* Add UMD Maryland CMSC 828W (FA20) webpage

* Add CMU 18 642 (FA21)
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@@ -562,6 +562,7 @@ Table of Contents
- [Stat 946 Deep Learning - University of Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)
- [EECS 298 Theory of Computational Neural Networks and Machine Learning (Fall 2020) - UC Irvine](https://grandcentral.eee.uci.edu/syllabus/download/F-2020/17815) ([YouTube](https://www.youtube.com/playlist?list=PLIygTcviGPKBAh1HWXPOI3Rw59WdRlJXu))
- [ECE 1508 Applied Deep Learning - University of Toronto](https://www.bereyhi.com/deep-learning) ([Fall 2025](https://bereyhi-courses.github.io/dl-utoronto/)) ([Winter 2025](https://www.youtube.com/playlist?list=PLcFgNUo9s_AgsMOnniTMIWmLpjj9vZ1Wm)) ([Fall 2024](https://www.youtube.com/playlist?list=PLcFgNUo9s_Ajz1l4rBDIApwdcEKgzoMko))
- [ECE 1508 Reinforcement Learning - Fall 2025 - University of Toronto](https://bereyhi-courses.github.io/rl-utoronto/lectures/)
- [Neural networks class - Université de Sherbrooke](http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html) ([YouTube](https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH))
- [DLCV - Deep Learning for Computer Vision - UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBavDoZpFcX-bff5WgQqSLzR)
- [DLAI - Deep Learning for Artificial Intelligence @ UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd)
@@ -582,7 +583,7 @@ Table of Contents
- [Deep Learning François Fleuret](https://fleuret.org/dlc/)
- [Applied Deep Learning Maziar Raissi](https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4)
- [UC Berkeley CS 182 / 282a Deep Learning spring 2023, by Anant Sahai](https://www.youtube.com/playlist?list=PLIygTcviGPKAaj_UAJcazYN4964xZ7Lt1)
- [Foundations of Deep Learning - UMD](https://www.youtube.com/playlist?list=PLHgjs9ncvHi80UCSlSvQe-TK_uOyDv_Jf)
- [CMSC 828W Foundations of Deep Learning (Fall 2020) - UMD](https://www.cs.umd.edu/class/fall2020/cmsc828W/) ([YouTube](https://www.youtube.com/playlist?list=PLHgjs9ncvHi80UCSlSvQe-TK_uOyDv_Jf))
- [TUM IN2346 Introduction to Deep Learning Fall 2024, by Daniel Cremers](https://cvg.cit.tum.de/teaching/ws2024/i2dl) ([Summer 2023](https://www.youtube.com/playlist?list=PLQ8Y4kIIbzy_pGm2QAwF625E6nmcRu2sU))
- [UT Austin - Advances in Deep Learning](https://ut.philkr.net/advances_in_deeplearning/)
- [HKU - Data 8014 Principles of Deep Representation Learning Fall 2025, by Yi Ma](https://ma-lab-berkeley.github.io/deep-representation-learning-book/community.html)
@@ -1049,6 +1050,7 @@ Table of Contents
- [ECE 4760 Designing with Microcontrollers Fall 2016, Cornell University](http://people.ece.cornell.edu/land/courses/ece4760/) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLKcjQ_UFkrd4I5WOIxHEYZ7iY04lj15Ez))
- [ECE 5760 - Advanced Microcontroller Design and system-on-chip, Spring 2016 - Cornell University](http://people.ece.cornell.edu/land/courses/ece5760/)
- [Internet of Things by Prof. Dr.-Ing. Dietmar P. F. Möller](https://video.tu-clausthal.de/vorlesung/408.html)
- [18 642 - Embedded Software Engineering, Fall 2021 - CMU](https://users.ece.cmu.edu/~koopman/lectures/index.html#642)
- [CSE 351 - The Hardware/Software Interface, Spring 16 - University of Washington](https://courses.cs.washington.edu/courses/cse351/16sp/videos.html) ([Coursera](http://academictorrents.com/details/f1384286c8581bffba11e378fdb37608e649d82a))
- [ECE 5030 - Electronic Bioinstrumentation, Spring 2014 - Cornell University](http://people.ece.cornell.edu/land/courses/ece5030/)
- [ECE/CS 5780/6780 - Embedded Systems Design, Spring 14 - University of Utah](https://www.youtube.com/playlist?list=PLQefpK95HyFmao3zi-WDOMkeSev-Je5dE)
@@ -1298,7 +1300,7 @@ introduction/id389259246))
- [Statistical Models in Computational Biology](https://video.ethz.ch/lectures/d-bsse/2018/spring/636-0702-00L/21c63925-cd10-4d56-bac1-b412ed6fe385.html)
- [ETH Zürich Statistical Models in Computational Biology spring 2018, by Niko Beerenwinkel](https://video.ethz.ch/lectures/d-bsse/2018/spring/636-0702-00L/21c63925-cd10-4d56-bac1-b412ed6fe385.html)
- [UC Berkeley CS 198-96 Introduction to Neurotechnology fall 2020](https://github.com/neurotech-berkeley/neurotech-course)
- [MLCB24 - Machine Learning in Computational Biology Fall 2024](https://www.youtube.com/playlist?list=PLypiXJdtIca4gtioEPLIExlAKvu64z7rc)
- [MLCB24 - Machine Learning in Computational Biology Fall 2024](https://www.youtube.com/playlist?list=PLypiXJdtIca4gtioEPLIExlAKvu64z7rc) ([Fall 2018](https://www.youtube.com/playlist?list=PLypiXJdtIca6GBQwDTo4bIEDV8F4RcAgt)) ([Fall 2019](https://www.youtube.com/playlist?list=PLypiXJdtIca6U5uQOCHjP9Op3gpa177fK))
- [Introduction to Neural Computation - MIT OCW](https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-40-introduction-to-neural-computation-spring-2018/)
- [Data Science for Biologists - Steve Brunton](https://www.youtube.com/playlist?list=PLMrJAkhIeNNQz4BMoGSsN8cbt8pHlokhV)
- [Big Data and Biological Networks IIT Madras](https://www.youtube.com/playlist?list=PLZ2ps__7DhBapdXdBZInSjonWNAUL6Ycm)