diff --git a/README.md b/README.md
index 9550d76..b7f13b8 100755
--- a/README.md
+++ b/README.md
@@ -345,6 +345,7 @@ Table of Contents
 - #### **Introduction to Machine Learning**
   - [Introduction to Machine Learning for Coders](https://course18.fast.ai/ml)
   - [MOOC - Statistical Learning, Stanford University](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/)
+  - [Statistical Learning with Python - Stanford Online](https://www.youtube.com/playlist?list=PLoROMvodv4rPP6braWoRt5UCXYZ71GZIQ)
   - [Foundations of Machine Learning Boot Camp, Berkeley Simons Institute](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)
   - [CS155 - Machine Learning & Data Mining, 2017 - Caltech](https://www.youtube.com/playlist?list=PLuz4CTPOUNi6BfMrltePqMAHdl5W33-bC) ([Notes](http://www.yisongyue.com/courses/cs155/2017_winter/)) ([2016](https://www.youtube.com/playlist?list=PL5HdMttxBY0BVTP9y7qQtzTgmcjQ3P0mb))
   - [CS 156 - Learning from Data, Caltech](https://work.caltech.edu/lectures.html)
@@ -566,6 +567,7 @@ Table of Contents
   - [Natural Language Processing (IN2361) - TUM](https://live.rbg.tum.de/?year=2019&term=W&slug=nlp&view=3)
   - [CS 886: Recent Advances on Foundation Models Winter 2024 - University of Waterloo](https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/)
 - #### **Generative AI**
+  - [Stanford CS236: Deep Generative Models I 2023 I Stefano Ermon](https://www.youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6STXaWW4FvJT8)
   - [CS 6785 - Deep Generative Models - Cornell Tech, Spring 2023)](https://www.youtube.com/playlist?list=PL2UML_KCiC0UPzjW9BjO-IW6dqliu9O4B)
 - #### **Computer Vision**
   - [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)
@@ -582,7 +584,7 @@ Table of Contents
   - [Applied Time Series Analysis](https://www.youtube.com/playlist?list=PLl0FT6O_WWDBm-4W-eoK34omYmEMseQDX)
 - #### **Optimization**
   - [Optimisation for Machine Learning: Theory and Implementation (Hindi) - IIT](https://www.youtube.com/playlist?list=PLyqSpQzTE6M-pmLzCoMu_ANU6atEFyyJl)
-  - [EE364a: Convex Optimization I - Stanford University](http://web.stanford.edu/class/ee364a/videos.html)
+  - [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/)
   - [10-725 Optimization Fall 2012 - CMU](http://www.cs.cmu.edu/~ggordon/10725-F12/schedule.html)
@@ -672,6 +674,7 @@ Table of Contents
 - **Probability & Statistics**
   - [Statistics - CrashCourse](https://www.youtube.com/playlist?list=PL8dPuuaLjXtNM_Y-bUAhblSAdWRnmBUcr)
   - [6.041 Probabilistic Systems Analysis and Applied Probability - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013/)
+  - [Stanford CS109 Introduction to Probability for Computer Scientists I 2022 I Chris Piech](https://www.youtube.com/playlist?list=PLoROMvodv4rOpr_A7B9SriE_iZmkanvUg)
   - [MIT RES.6-012 Introduction to Probability, Spring 2018 - MIT](https://www.youtube.com/playlist?list=PLUl4u3cNGP60hI9ATjSFgLZpbNJ7myAg6)
   - [Statistics 110 - Probability - Harvard University](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo)
   - [STAT 2.1x: Descriptive Statistics | UC Berkeley](https://www.youtube.com/playlist?list=PL_Ig1a5kxu56TfFnGlRlH2YpOBWGiYsQD)