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Environmental Implications of the AI Boom
Environmental Implications of the AI Boom
The digital world can’t exist without the natural resources to run it. What are the costs of the tech we’re using to build and run AI?
Stephanie Kirmer
May 2
How to Build Data Pipelines for Machine Learning
How to Build Data Pipelines for Machine Learning
A beginner-friendly introduction with Python code
Shaw Talebi
May 2
Latest
Starting ML Product Initiatives on the Right Foot
Starting ML Product Initiatives on the Right Foot
Top 3 lessons learned: the problem, the size, and the data
Anna Via
May 2
From Social Science to Data Science
From Social Science to Data Science
8 years ago I started my bachelor’s degree in Geography. Now I’m a Data Scientist; this is the story of how (and why) I’ve got here
Matt Chapman
May 2
Data Science Unicorns, RAG Pipelines, a New Coefficient of Correlation, and Other April Must-Reads
Data Science Unicorns, RAG Pipelines, a New Coefficient of Correlation, and Other April Must-Reads
The stories that resonated the most with our community in the past month
TDS Editors
May 2
How to Use Re-Ranking for Better LLM RAG Retrieval
How to Use Re-Ranking for Better LLM RAG Retrieval
Building an advanced local LLM RAG pipeline with two-step retrieval using open-source bi-encoders and cross-encoders
Dr. Leon Eversberg
May 1
Introduction to Computer Vision for Climate Change
Introduction to Computer Vision for Climate Change
Uncovering hidden patterns in visual data (e.g. satellite data) is a critical task in tackling climate change
Daniel Pazmiño Vernaza
May 1
Understand SQL Window Functions Once and For All
Understand SQL Window Functions Once and For All
A step-by-step guide to understanding window functions
Mateus Trentz
May 1
My First Billion (of Rows) in DuckDB
My First Billion (of Rows) in DuckDB
First Impressions of DuckDB handling 450Gb in a real project
João Pedro
May 1
BiTCN: Multivariate Time Series Forecasting with Convolutional Networks
BiTCN: Multivariate Time Series Forecasting with Convolutional Networks
Discover the BiTCN model for multivariate time series forecasting, explore its architecture, and implement it in Python.
Marco Peixeiro
May 1
HELP! We’ve Been HECS’d
HELP! We’ve Been HECS’d
A Statistical Review of the Universities Accord Recommendations
Murray Gillin
May 1
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