COMS 4995 Columbia, CS 124 Stanford, 18.065 MIT

README.md

@@ -321,6 +321,7 @@ Courses
 	- [Machine Learning (COMP09012)](https://www.youtube.com/playlist?list=PLyH-5mHPFffFwz7Twap0XuVeUJ8vuco9t)
 	- [Probabilistic Machine Learning 2020 - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij1tHaOFY96m5uX3J21a6yNd)
 	- [Statistical Machine Learning 2020 - Ulrike von Luxburg - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC)
+	- [COMS W4995 - Applied Machine Learning - Spring 2020 - Columbia University](https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/)
 - **Data Mining**
 	- [CSEP 546, Data Mining - Pedro Domingos, Sp 2016 - University of Washington](https://courses.cs.washington.edu/courses/csep546/16sp/) ([YouTube](https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr))
 	- [CS 5140/6140 - Data Mining, Spring 2016, University of Utah](https://www.cs.utah.edu/~jeffp/teaching/cs5140.html) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpXfb43Wvc7s5fXWzedwTPB))
@@ -402,6 +403,7 @@ Courses
 - **ML based Natural Language Processing and Computer Vision**
 	- [CS 224d - Deep Learning for Natural Language Processing, Stanford University](http://cs224d.stanford.edu/syllabus.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLCJlDcMjVoEdtem5GaohTC1o9HTTFtK7_))
 	- [CS 224N - Natural Language Processing, Stanford University](http://web.stanford.edu/class/cs224n/) ([Lecture videos](https://www.youtube.com/playlist?list=PLgtM85Maly3n2Fp1gJVvqb0bTC39CPn1N))
+	- [CS 124 - From Languages to Information - Stanford University](https://www.youtube.com/channel/UC_48v322owNVtORXuMeRmpA/playlists?view=50&sort=dd&shelf_id=2)
 	- [MOOC - Natural Language Processing, Dan Jurafsky & Chris Manning - Coursera](https://www.youtube.com/playlist?list=PL6397E4B26D00A269)
 	- [fast.ai Code-First Intro to Natural Language Processing](https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9) ([Github](https://github.com/fastai/course-nlp))
 	- [MOOC - Natural Language Processing - Coursera, University of Michigan](https://www.youtube.com/playlist?list=PLLssT5z_DsK8BdawOVCCaTCO99Ya58ryR)
@@ -510,6 +512,7 @@ Courses
 	 - [02402 Introduction to Statistics E12 - Technical University of Denmark](https://www.youtube.com/playlist?list=PLMn2aW3wpAtPC8tZHQy6nwWsFG7P6sPqw) ([F17](https://www.youtube.com/playlist?list=PLgowegO9Se58_BnUNnaARajEE_bX-GJEz))
 - **Linear Algebra**
 	- [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/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/video-lectures/)
 	- [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/))