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calogica.com | ||
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distill.pub
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| | | | | How to tune hyperparameters for your machine learning model using Bayesian optimization. | |
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www.unofficialgoogledatascience.com
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| | | | | by STEVEN L. SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data scien... | |
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jaketae.github.io
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| | | | | So far on this blog, we have looked the mathematics behind distributions, most notably binomial, Poisson, and Gamma, with a little bit of exponential. These distributions are interesting in and of themselves, but their true beauty shines through when we analyze them under the light of Bayesian inference. In today's post, we first develop an intuition for conditional probabilities to derive Bayes' theorem. From there, we motivate the method of Bayesian inference as a means of understanding probability. | |
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www.dquach.com
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| | | [AI summary] The provided text is an extensive list of data integration and data management tools, platforms, and companies. It includes both open-source and commercial solutions, ranging from Apache Spark to enterprise software like Talend, TIBCO, and Qlik. The list also includes companies like Dell Boomi, Stitch, and Hevo Data, which offer cloud-based integration services. Additionally, there are mentions of tools like Liquibase, Flyway, and Shipyard for database management and container orchestration. The text appears to be a comprehensive catalog of data-related technologies, possibly intended for comparison, research, or decision-making in data engineering and integration projects. | ||
