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The Machine Learning “Advent Calendar” Bonus 1: AUC in Excel
AUC measures how well a model ranks positives above negatives, independent of any chosen threshold. The post The Machine Learning “Advent Calendar” Bonus 1: AUC...
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Cómo 'Vemos' los Datos: Por Qué tus Gráficos Engañan y Cómo Usar PCA para Arreglarlo
Una guía técnica sobre cómo reducir dimensiones y acelerar tus modelos sin perder información crítica. El problema típico Como mentores en Python Baires, vemos...
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Breaking the Hardware Barrier: Software FP8 for Older GPUs
Deep learning workloads are increasingly memory-bound, with GPU cores sitting idle while waiting for data transfers. FP8 precision solves this on newer hardware...
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Modelos de ML: Por Qué Tu Predicción Es Buena... Hasta Que No Lo Es
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Day 35 of improving my Data Science skills
Lately, I've noticed something changing in how I learn. I'm no longer excited just because something works. I'm more interested in why it works, and what breaks...
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Statistics - Hypothesis Testing in Data Science
Hypothesis testing is a systematic procedure used in statistics and data science to decide whether a claim about a population is supported by sample data or not...
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Forecasting Appointment No-Shows and Improving Healthcare Access: A Machine Learning Framework
markdown !Randeep Shttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fupl...
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How to Build an AI-Powered Weather ETL Pipeline with Databricks and GPT-4o: From API To Dashboard
A step-by-step guide from weather API ETL to dashboard on Databricks The post How to Build an AI-Powered Weather ETL Pipeline with Databricks and GPT-4o: From A...
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Jupyter Notebook start
What is Jupyter Notebook? Interactive coding environment for Python and other languages like R, Julia via kernels. Modes in Jupyter - Command Mode – used to co...
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Why MAP and MRR Fail for Search Ranking (and What to Use Instead)
MAP and MRR look intuitive, but they quietly break ranking evaluation. Here’s why these metrics mislead—and how better alternatives fix it. The post Why MAP and...
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Bonferroni vs. Benjamini-Hochberg: Choosing Your P-Value Correction
Multiple hypothesis testing, P-values, and Monte Carlo The post Bonferroni vs. Benjamini-Hochberg: Choosing Your P-Value Correction appeared first on Towards Da...
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Statistics - Measures of Position In Data Science
What Are Measures of Position? Measures of position describe where a particular data value stands relative to the rest of the dataset. - Is this value high, lo...