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How to Improve AI Performance by Understanding Embedding Quality | by Eivind Kjosbakken | Feb, 2024

Learn how to ensure the quality of your embeddings, which can be essential for your machine-learning system. Creating quality embeddings is an essential part of most AI systems. Embeddings are the foundation on which an AI model can do its job, and creating high-quality embeddings is, therefore, an important element in making high-accuracy AI models.…

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The Most Advanced Libraries for Data Visualization and Analysis on the Web | by LucianoSphere (Luciano Abriata, PhD) | Feb, 2024

In this new post I present the outcome of my quest for the most advanced and powerful libraries for web-based data visualization and analysis as judged by me after a careful analysis of performance, flexibility, and richness of features. Some of the libraries I selected are not popular at all, but they offer surprising capabilities…

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Sensitivity Analysis for Unobserved Confounding | by Ugur Yildirim | Feb, 2024

How to know the unknowable in observational studies Introduction Problem Setup 2.1. Causal Graph 2.2. Model With and Without Z 2.3. Strength of Z as a Confounder Sensitivity Analysis 3.1. Goal 3.2. Robustness Value PySensemakr Conclusion Acknowledgements References The specter of unobserved confounding (aka omitted variable bias) is a notorious problem in observational studies. In…

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Speech to Text to Speech with AI Using Python — a How-To Guide | by Naomi Kriger | Feb, 2024

How to Create a Speech-to-Text-to-Speech Program Image by Mariia Shalabaieva from unsplashIt’s been exactly a decade since I started attending GeekCon (yes, a geeks’ conference 🙂) — a weekend-long hackathon-makeathon in which all projects must be useless and just-for-fun, and this year there was an exciting twist: all projects were required to incorporate some form…

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