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ddarmon.github.io | ||
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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. | |
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www.randomservices.org
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brenocon.com
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| | | | | [AI summary] The provided text is a collection of comments and discussions from a blog post that originally criticized artificial neural networks (ANNs) in 2008. The comments reflect a range of opinions and debates about the relationship between machine learning (ML) and statistics, with some users defending ML techniques like support vector machines (SVMs), probabilistic graphical models, and deep learning, while others argue for the importance of statistical methods. There are also discussions about the need for better communication between disciplines, the limitations of ML approaches, and the importance of understanding the underlying assumptions of models. The text includes recommendations for textbooks and courses, such as 'All of Statistics' and Andre... | |
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www.windowscentral.com
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| | | The latest OpenAI and ChatGPT breaking news, reviews and features from the experts at Windows Central | ||
