DDE-1/Ode-to-Learning.md

@@ -25,3 +25,17 @@ The Pandas library builds on top of NumPy, so everything we do via Pandas goes b
 * <https://jupyter.org/>
 * <https://numpy.org/>
 * <https://pandas.pydata.org/>
+
+* [Which ML model to use?](https://blogs.sas.com/content/subconsciousmusings/2020/12/09/machine-learning-algorithm-use/)
+
+* [Rules of Machine Learning](https://developers.google.com/machine-learning/guides/rules-of-ml)
+
+* [Good data analysis](https://developers.google.com/machine-learning/guides/good-data-analysis)
+
+* [Interpretable Machine Learning](https://christophm.github.io/interpretable-ml-book/index.html)
+
+* [Choosing the right estimator](https://scikit-learn.org/stable/tutorial/machine_learning_map/)
+
+* [SOftware 2.0](https://karpathy.medium.com/software-2-0-a64152b37c35)
+
+* [Over 200 tutorials listed here!](https://medium.com/machine-learning-in-practice/over-200-of-the-best-machine-learning-nlp-and-python-tutorials-2018-edition-dd8cf53cb7dc)
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