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@kdnuggets

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Data Science • Machine Learning • AI • Analytics • Founded by Gregory Piatetsky-Shapiro • Edited by @mattmayo13 • KD stands for Knowledge Discovery

San Juan, PR
Joined February 2009
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@kdnuggets
KDnuggets
4 hours
Fisher's Alpha represents a pioneering attempt to characterize species diversity through mathematical modeling by estimating the diversity parameter of a theoretical species abundance distribution. #statology
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@kdnuggets
KDnuggets
5 hours
Python web frameworks power everything from fast APIs and machine learning demos to complex web apps, interactive data apps, real-time applications, and production-ready deployments.
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@kdnuggets
KDnuggets
6 hours
3D scatter plots in Plotly offer an excellent way to explore relationships between three continuous variables, with interactivity that makes them particularly valuable for data exploration and revealing patte. #statology
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@kdnuggets
KDnuggets
7 hours
Learn how Python __slots__ reduces memory and boosts speed with real benchmarks from a data science project used in Allegro’s hiring challenge.
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@kdnuggets
KDnuggets
1 day
McIntosh's Evenness Index provides an alternative approach to measuring species evenness that offers unique advantages in certain ecological contexts by comparing the observed community structure to both . #statology
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@kdnuggets
KDnuggets
1 day
Learn how to develop a simple data pipeline and execute it easily.
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@kdnuggets
KDnuggets
1 day
In this article, we’ll examine five statistical rules of thumb that actually hold up to scrutiny. #statology
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@kdnuggets
KDnuggets
1 day
This tutorial explores ten practical — and perhaps surprising — applications of the Python collections module.
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@kdnuggets
KDnuggets
1 day
You can have the best AI product in the world. But if your message isn’t reaching the technical teams who actually evaluate, experiment, and adopt new tools - you’re invisible. KDnuggets puts your product in front of the engineers, scientists, and researchers who make real
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@kdnuggets
KDnuggets
2 days
This post is divided into three parts; they are: • Why Skip Connections are Needed in Transformers • Implementation of Skip Connections in Transformer Models • Pre-norm vs Post-norm Transformer Architect. #teachthemachine
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@kdnuggets
KDnuggets
2 days
Interactive distribution plots combine histograms and density curves to reveal how data values are distributed across different groups, with Plotly's interactivity transforming passive observation into ac. #statology
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@kdnuggets
KDnuggets
2 days
In this tutorial, we will show the steps of creating protected ranges in Google Sheets. #statology
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@kdnuggets
KDnuggets
2 days
This article explains how to turn messy raw data into useful features that help machine learning models make smarter and more accurate predictions.
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@kdnuggets
KDnuggets
2 days
Animated scatter plots transform static data analysis into dynamic storytelling by showing how relationships between variables evolve over time, making complex temporal patterns immediately visible and engaging. #statology
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@kdnuggets
KDnuggets
2 days
In today's AI world, data scientists are not just focused on training and optimizing machine learning models. #teachthemachine
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@kdnuggets
KDnuggets
2 days
Python makes common math and stats tasks super simple. These one-liners show how to do more with less code.
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@kdnuggets
KDnuggets
2 days
The hard part isn’t building your product. It’s getting the right people to see it. KDnuggets helps AI & data companies reach ML engineers, data scientists, and technical decision makers — the people who actually build, evaluate, and adopt new tools. 👉 Learn more:
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@kdnuggets
KDnuggets
3 days
In a <a href="#teachthemachine
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@kdnuggets
KDnuggets
3 days
Whether you are a beginner eager to build your first project, or an experienced coder wanting to expand your portfolio, GitHub is a goldmine of real-world Python projects to learn from.
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@kdnuggets
KDnuggets
3 days
Discover vibe modeling, a new approach to data science that leverages AI assistance throughout the entire model development lifecycle — not just the initial coding. Speed up the process of AI coding and tedious experimentation. Vibe modeling creates the opportunity in describing
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