diff --git a/docs/computer-science/applications/machine-learning/index.md b/docs/computer-science/applications/machine-learning/index.md
index 915b8d2..f89dd29 100644
--- a/docs/computer-science/applications/machine-learning/index.md
+++ b/docs/computer-science/applications/machine-learning/index.md
@@ -3,12 +3,8 @@ sidebar_position: 2
 ---
 
 # Machine Learning
-*Timeline: 99 hours*
+*Timeline: 50 hours*
 
 These courses provide a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)
 
-- [Supervised Machine Learning: Regression and Classification](https://www.coursera.org/learn/machine-learning), 33 hrs
-
-- [Advanced Learning Algorithms](https://www.coursera.org/learn/advanced-learning-algorithms), 34 hrs
-
-- [Unsupervised Learning, Recommenders, Reinforcement Learning](https://www.coursera.org/learn/unsupervised-learning-recommenders-reinforcement-learning), 27 hrs
\ No newline at end of file
+- [Machine Learning Specialization](https://www.deeplearning.ai/courses/machine-learning-specialization/)