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imteekay · Jul 9, 2024 · 3c5befc · 3c5befc
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diff --git a/content/series/mathematics-for-machine-learning/algebra-fundamentals/en/index.mdx b/content/series/mathematics-for-machine-learning/algebra-fundamentals/en/index.mdx
@@ -415,6 +415,11 @@ x = range(-100, 101)
 y = [k(a) for a in x]
 ```
 
+## Resources
+
+- [Machine Learning Research](https://github.com/imteekay/machine-learning-research)
+- [Math for Machine Learning with Python](https://www.edx.org/learn/math/edx-math-for-machine-learning-with-python)
+
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diff --git a/...ematics-for-machine-learning/calculus-derivatives-and-optimization/en/index.mdx b/...ematics-for-machine-learning/calculus-derivatives-and-optimization/en/index.mdx
@@ -613,6 +613,11 @@ The cost function provides a way to evaluate the performance of a model. Gradien
 - Finding the model parameters that result in the smallest possible cost, indicating the best fit to the data.
 - Lower values of the cost function indicate a model that better predicts the actual outcomes.
 
+## Resources
+
+- [Machine Learning Research](https://github.com/imteekay/machine-learning-research)
+- [Math for Machine Learning with Python](https://www.edx.org/learn/math/edx-math-for-machine-learning-with-python)
+
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