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www.econometricsbysimulation.com
| | mauricioromerot.wordpress.com
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| | Curriculum Guidelines for Undergraduate Programs in Data Science. Annual Review of Statistics and Its Application. 2017. Link. Lecturas Should Computer Science Be Required?. Link. Five reasons why researchers should learn to love the command line. Link. RStudio Webinars. Link. Entornos de desarrollo Integrado - IDE Python Google Colab. Link. AI hub. Link. Que es. Link...
| | 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.
| | brenocon.com
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| | scorpil.com
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| In Part One of the "Understanding Generative AI" series, we delved into Tokenization - the process of dividing text into tokens, which serve as the fundamental units of information for neural networks. These tokens are crucial in shaping how AI interprets and processes language. Building upon this foundational knowledge, we are now ready to explore Neural Networks - the cornerstone technology underpinning all Artificial Intelligence research. A Short Look into the History Neural Networks, as a technology, have their roots in the 1940s and 1950s.