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Nowadays a lot of product managers have to confirm most of their decisions with AB-tests. Yet, it is far not always clear how to choose the parameters for the test. A particularly difficult parameter to tune is often the level of statistical significance. If we choose too high level - tests will fail even though improvements do exist. If we choose too low level - we'll be getting lots of "confirmations" of false improvements.When we make decisions based on AB-tests, once in a while we'll be making mistakes.
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![[Translation] PostgreSQL 18: Part 1 or CommitFest 2024-07](https://times42.com/media/6/3/6/9539636_640x200.jpg "[Translation] PostgreSQL 18: Part 1 or CommitFest 2024-07")
This article is the first in the series about the upcoming PostgreSQL 18 release. Let us take a look at the features introduced in the July CommitFest. Planner: Hash Right Semi Join support Planner: materializing an internal row set for parallel nested loop join Planner support functions for generate_series EXPLAIN (analyze): statistics for Parallel Bitmap Heap Scan node workers Functions min and max for composite types Parameter names for regexp*... Read more ›
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The explicit reparameterization trick is often used to train various latent variable models due to the ease of calculating gradients of continuous random variables. However, due to its peculiarities, explicit reparameterization trick is not applicable to several important continuous standard distributions, such as mixture, Gamma, Beta and Dirichlet.An alternative method for calculating reparameterization gradients relies on implicit differentiation of cumulative distribution functions. The implicit reparame Read more ›
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Napkin AI is an innovative artificial intelligence tool that transforms text descriptions into visual sketches and diagrams. Launched in 2023, this tool allows users to quickly convert their ideas into visual representations, similar to drawing on a napkin – hence the name. In this tutorial, I will walk you through its top features and provide a video demonstration. Read more Read more ›
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