We study how researchers can apply machine learning (ML) methods in finance. We first establish that the two major categories of ML (supervised and unsupervised

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Statistical errors are common in scientific literature and about 50% of the published articles have at least one error. The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends…

Normality tests can be classified into tests based on chi-squared, moments, empirical distribution, spacings, regression and correlation and other special tests. This paper studies and compares th...

🧮 A collection of resources to learn mathematics for machine learning - dair-ai/Mathematics-for-ML

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Improve your Python skills by learning how to code 20 beginner Python projects.

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Machine Learning is making remarkable inroads in the finance industry. Many financial companies are taking advantage of machine learning. So if you are interested to learn machine learning for finance and looking for some good courses, read this article.