Clarification of Machine Learning Terminology
70425
Valid references on origins of Machine Learning, Statistical Learning and Data Mining
86077
A few clarifications regarding convolutional neural networks
141640
Sklearn - Choosing the right model for supervised learning/classification task
140385
Practical thoughts on explanatory vs. predictive modeling
141861
What is meant by the variance of *functions* in *Introduction to Statistical Learning*?
104621
On the hardness of data to learn
142784
For linear classifiers, do larger coefficients imply more important features?
145143
What is the difference between a multi-label and a multi-class classification?
24634
What is the difference between classification and regression?
6024
How to deal with hierarchical / nested data in machine learning
139544
Is there a term for reduplication used to disambiguate categorization?
142959
Do we still need to do feature selection while using Regularization algorithms?
20651
Difference between Random forest vs Bagging in sklearn
135045
What's in a name: hyperparameters
92981
Exercise: Should we trust our naive bayes or a human "guru"?
108282
How to choose between learning algorithms
158440
Supervised learning with uncertain data?