Add some Optimization, Matrix Methods in ML courses (#373)

* Add Rochester DSCC 435 (FA23)

* Add ECE/CS/ME 532 Matrix Methods (FA17)

* Add Wisconsin-Madison CS/ECE/ISyE 524 (SP17-18)

README.md

@@ -595,6 +595,7 @@ Table of Contents
   
 - #### **Optimization**
   - [Optimisation for Machine Learning: Theory and Implementation (Hindi) - IIT](https://www.youtube.com/playlist?list=PLyqSpQzTE6M-pmLzCoMu_ANU6atEFyyJl)
+  - [Rochester DSCC 435 Optimization for Machine Learning fall 2023, by Jiaming Liang](https://www.youtube.com/playlist?list=PLuJY91x7h5orCtyh6mChurVQ2ZZef9qPF)
   - [EE364a: Convex Optimization I - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rMJqxxviPa4AmDClvcbHi6h)
   - [10-725 Convex Optimization, Spring 2015 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt-S15/)
   - [10-725 Convex Optimization: Fall 2016 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt/)
@@ -602,6 +603,7 @@ Table of Contents
   - [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 CS/ECE/ISyE 524 Introduction to Optimization spring 2017-18, by Laurent Lessard](https://laurentlessard.com/teaching/524-intro-to-optimization/)
   - [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)
   
@@ -736,6 +738,7 @@ Table of Contents
   - [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/)
   - [18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning - MIT OCW](https://ocw.mit.edu/courses/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/video_galleries/video-lectures/)
+  - [University of Wisconsin-Madison ECE/CS/ME 532 Matrix Methods in Machine Learning fall 2017, by Laurent Lessard](https://laurentlessard.com/teaching/532-matrix-methods/)
   - [Linear Algebra (Princeton University)](https://www.youtube.com/playlist?list=PLGqzsq0erqU7w7ZrTZ-pWWk4-AOkiGEGp)
   - [MOOC: Coding the Matrix: Linear Algebra through Computer Science Applications - Coursera](http://academictorrents.com/details/54cd86f3038dfd446b037891406ba4e0b1200d5a)
   - [CS 053 - Coding the Matrix - Brown University](http://cs.brown.edu/courses/cs053/current/lectures.htm) ([Fall 14 videos](https://cs.brown.edu/video/channels/coding-matrix-fall-2014/))