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Jun 30, 2020
We explain in detail the Student's t-statistic and the chi**2 statistic.
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Jun 20, 2020
We explain the basics of linear regression and classification.
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Jun 5, 2020
When fitting a model to the data, there is a tradeoff between bias and complexity. A less biased model can have higher complexity, but this also makes it more prone to overfit. In contrast, with more bias, the model is limited to simpler problems. We explain this phenomenon with python examples in both classification and regression examples.
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May 26, 2020
We address the importance of dimensionality in machine learning.
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May 5, 2020
We derive Hoeffding's inequality. This is one of the most used results in machine learning theory.
