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terrytao.wordpress.com | ||
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matthewmcateer.me
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| | | | | Important mathematical prerequisites for getting into Machine Learning, Deep Learning, or any of the other space | |
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almostsuremath.com
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| | | | | According to Kolmogorov's axioms, to define a probability space we start with a set ? and an event space consisting of a sigma-algebra F? on ?. A probability measure ? on this gives the probability space (?,?F?,??), on which we can define random variables as measurable maps from ? to the reals or other measurable... | |
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cyclostationary.blog
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| | | | | Our toolkit expands to include basic probability theory. | |
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minireference.com
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| | | [AI summary] The author discusses the need for a revised introductory statistics curriculum, emphasizing the importance of probability distributions, estimators, and sampling methods. They highlight the inclusion of modern statistical techniques like permutation tests and Bayesian statistics, while also addressing ethical considerations and practical applications. The author also recommends various learning resources for readers interested in statistics. | ||
