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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
1
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What does a point on ROC curve tells us, or if I have a ROC curve and I have taken a point l...
Motivation
Suppose we have a (machine learning) model trying to classify a data point between two classes, the model assigns to a data point a score (usually this score is a number between 0 and 1).
T …
2
votes
Can a garden-variety neural network square a number in the general case?
This is an interesting question. I wanted to contribute an answer which shows how we can do this practically in Python, and call out a few interesting things. I hope the interested reader will take th …
4
votes
1
answer
370
views
Comparing frequencies or proportions between two groups to find differences
Suppose I have two groups of users, A and B. In case it is relevant, B is much smaller than A.
I have a feature of products purchased across two groups. I want to find items whose popularity is differ …
1
vote
Should I use dependent t-test or independent t-test
This question has been addressed in the comments. I reply here to give an old questions an answer.
The two sentences within each pair are more alike than two randomly chosen sentences with different …
2
votes
Difference between anomaly detection and data quality check
This is such a difficult question to answer because 'data quality checks' is so broad, and even the definition of anomaly detection is not completely clear. Moreover, to give the best suggestions we w …
0
votes
Isolation Forest Numerical Example
Isolation Forest Worked Example
First, I remark that there are differences between how different packages implement the isolation forest, and there are also extensions (e.g. extended isolation forest) …