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| | tomaugspurger.net
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| | Hadley Whickham wrote a famous paper (for a certain definition of famous) about the importance of tidy data when doing data analysis. I want to talk a bit about that, using an example from a StackOverflow post, with a solution using pandas. The principles of tidy data aren't language specific. A tidy dataset must satisfy three criteria (page 4 in Whickham's paper): Each variable forms a column. Each observation forms a row. Each type of observational unit forms a table. In this StackOverflow post, the asker had some data NBA games, and wanted to know the number of days since a team last played. Here's the example data:
| | coornail.net
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| | Neural networks are a powerful tool in machine learning that can be trained to perform a wide range of tasks, from image classification to natural language processing. In this blog post, well explore how to teach a neural network to add together two numbers. You can also think about this article as a tutorial for tensorflow.
| | marcobonzanini.com
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| | In this article you'll find some tips to reduce the amount of RAM used when working with pandas, the fundamental Python library for data analysis and data manipulation. When dealing with large(ish) datasets, reducing the memory usage is something you need to consider if you're stretching to the limits of using a single machine. For...
| | www.chrisritchie.org
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| [AI summary] A blog post discussing the simulation of artificial life with neural networks, focusing on agent behavior, population dynamics, and future development goals.