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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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🧠Introducing OrKa Cloud API

🧠Introducing OrKa Cloud API

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12 min read
The Unspoken Truths of Dev Work: How I Wrestled My Data Science Project onto GitHub (and learned some secrets)

The Unspoken Truths of Dev Work: How I Wrestled My Data Science Project onto GitHub (and learned some secrets)

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3 min read
Unlock Deeper Heart Insights: Reconstructing a Full ECG From Your Smartwatch

Unlock Deeper Heart Insights: Reconstructing a Full ECG From Your Smartwatch

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2 min read
MLZC25-20. Regresión Logística y One-Hot Encoding: Entrenando Nuestro Primer Modelo de Clasificación

MLZC25-20. Regresión Logística y One-Hot Encoding: Entrenando Nuestro Primer Modelo de Clasificación

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8 min read
MLZC25-22. Regularización en Regresión Logística: Ajuste Fino del Parámetro C para Mejor Generalización

MLZC25-22. Regularización en Regresión Logística: Ajuste Fino del Parámetro C para Mejor Generalización

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9 min read
LLMs: Decoding the Geometry of Alignment

LLMs: Decoding the Geometry of Alignment

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2 min read
Mastering Distributed Machine Learning: How to 10X Your PyTorch Training Speed with Ray & DDP

Mastering Distributed Machine Learning: How to 10X Your PyTorch Training Speed with Ray & DDP

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6 min read
Unlocking the Secrets of Network Evolution: A New Approach to Predicting the Future

Unlocking the Secrets of Network Evolution: A New Approach to Predicting the Future

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2 min read
MLZC25-18. Análisis Exploratorio de Datos: Correlaciones y Distribuciones en Clasificación

MLZC25-18. Análisis Exploratorio de Datos: Correlaciones y Distribuciones en Clasificación

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8 min read
MLZC25-21. Feature Elimination: Optimizando el Modelo Removiendo Características Innecesarias

MLZC25-21. Feature Elimination: Optimizando el Modelo Removiendo Características Innecesarias

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7 min read
MLZC25-19. Mutual Information Score: Selección Inteligente de Características para Clasificación

MLZC25-19. Mutual Information Score: Selección Inteligente de Características para Clasificación

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7 min read
MLZC25-16. Clasificación en Machine Learning: Predicción de Conversión de Clientes (Lead Scoring)

MLZC25-16. Clasificación en Machine Learning: Predicción de Conversión de Clientes (Lead Scoring)

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7 min read
MLZC25-17. Preparación de Datos para Clasificación: Limpieza y Manejo de Valores Faltantes

MLZC25-17. Preparación de Datos para Clasificación: Limpieza y Manejo de Valores Faltantes

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8 min read
We just open-sourced XAI’s Macrohard, an autonomous computer-using agent

We just open-sourced XAI’s Macrohard, an autonomous computer-using agent

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2 min read
Mall Customer Segmentation using ML — A Step-by-Step Tutorial

Mall Customer Segmentation using ML — A Step-by-Step Tutorial

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3 min read
AI-Powered Micro-Robots: Revolutionizing Precision Medicine

AI-Powered Micro-Robots: Revolutionizing Precision Medicine

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2 min read
ML Zoomcamp Week 3

ML Zoomcamp Week 3

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1 min read
Beyond Pattern Matching: Teaching AI to Think

Beyond Pattern Matching: Teaching AI to Think

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2 min read
Speak Freely: Private Language Models on a Shoestring Budget by Arvind Sundararajan

Speak Freely: Private Language Models on a Shoestring Budget by Arvind Sundararajan

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2 min read
**The Hidden Dangers of Oversimplification in AI Sports Coac

**The Hidden Dangers of Oversimplification in AI Sports Coac

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1 min read
**AI Bias Alert: A Wake-Up Call for Fair Hiring Practices**

**AI Bias Alert: A Wake-Up Call for Fair Hiring Practices**

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1 min read
**The Future of Human-AI Convergence: Unlocking Unparalleled

**The Future of Human-AI Convergence: Unlocking Unparalleled

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1 min read
ML Learning #2: Logistic Regression

ML Learning #2: Logistic Regression

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3 min read
**Unlocking the Power of Reinforcement Learning: AI's Trial

**Unlocking the Power of Reinforcement Learning: AI's Trial

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1 min read
**Unlocking Faster Learning in Complex Environments: The Pow

**Unlocking Faster Learning in Complex Environments: The Pow

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1 min read
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