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Data Science allows us to extract meaning from and interpret data.

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Train Models. Ship Systems. Know the Difference.

Train Models. Ship Systems. Know the Difference.

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9 min read
When Labels are Missing, Validation becomes the Real Problem

When Labels are Missing, Validation becomes the Real Problem

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2 min read
If OpenAI Swallows Pinterest: How 200 Billion Intent Images Could Reshape the AI Technology Stack
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If OpenAI Swallows Pinterest: How 200 Billion Intent Images Could Reshape the AI Technology Stack

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10 min read
From Missing to Meaningful: Modern Approaches to Data Imputation in R

From Missing to Meaningful: Modern Approaches to Data Imputation in R

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5 min read
Data Stream Acceleration Guide Implementing Protobuf in FMZ Platform
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Data Stream Acceleration Guide Implementing Protobuf in FMZ Platform

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4 min read
Beyond K-Means: Modern Hierarchical Clustering in R

Beyond K-Means: Modern Hierarchical Clustering in R

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5 min read
When code suggestions keep using deprecated Pandas APIs: a practical postmortem

When code suggestions keep using deprecated Pandas APIs: a practical postmortem

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3 min read
Anomaly Detection in Seasonal Data: Why Z-Score Still Wins (But You Need to Use It Right)

Anomaly Detection in Seasonal Data: Why Z-Score Still Wins (But You Need to Use It Right)

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11 min read
Time-Series Alchemy: Predicting Glucose Trends 2 Hours Out with Transformers and PyTorch Lightning

Time-Series Alchemy: Predicting Glucose Trends 2 Hours Out with Transformers and PyTorch Lightning

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4 min read
When an AI Recommends Deprecated Pandas APIs — a postmortem

When an AI Recommends Deprecated Pandas APIs — a postmortem

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3 min read
Why Your 99% Accurate Model is Useless in Production (And How to Fix It)

Why Your 99% Accurate Model is Useless in Production (And How to Fix It)

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3 min read
Día Cero en Venezuela: Creando un Monitor Económico 24/7 con Python y Termux
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Día Cero en Venezuela: Creando un Monitor Económico 24/7 con Python y Termux

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2 min read
Building a Government Tender Intelligence System with Python: Lessons from the Real World

Building a Government Tender Intelligence System with Python: Lessons from the Real World

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4 min read
"LLMs Can Do Everything": Autopsy of a Myth
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"LLMs Can Do Everything": Autopsy of a Myth

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7 min read
When autocomplete suggests deprecated Pandas APIs — a debugging postmortem

When autocomplete suggests deprecated Pandas APIs — a debugging postmortem

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3 min read
LLMs for Classification: One Example is All You Need
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LLMs for Classification: One Example is All You Need

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4 min read
From Paper Policies to Intelligent Platforms: Insurance’s Digital Reset
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From Paper Policies to Intelligent Platforms: Insurance’s Digital Reset

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4 min read
Beyond K-Means: Modern Hierarchical Clustering in R

Beyond K-Means: Modern Hierarchical Clustering in R

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5 min read
Pacman e as Instalação de Bibliotecas
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Pacman e as Instalação de Bibliotecas

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3 min read
Building a Fraud Detection Model: My Experience as a Data Scientist

Building a Fraud Detection Model: My Experience as a Data Scientist

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3 min read
Understanding the Dataset Behind a Fraud Detection Model

Understanding the Dataset Behind a Fraud Detection Model

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3 min read
Building a Fraud Detection Model: Why It Matters in Modern Finance

Building a Fraud Detection Model: Why It Matters in Modern Finance

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3 min read
Data Analyst Guide: Mastering Neural Networks: When Analysts Should Use Deep Learning

Data Analyst Guide: Mastering Neural Networks: When Analysts Should Use Deep Learning

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5 min read
Decoupling Expectations: Mastering Covariance Shift in Machine Learning Models

Decoupling Expectations: Mastering Covariance Shift in Machine Learning Models

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2 min read
The Gaming Analytics Tech Stack: From Ingestion to Insights
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The Gaming Analytics Tech Stack: From Ingestion to Insights

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4 min read
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