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Crafting Time Series GIFs of Satellite Images with Python
Crafting Time Series GIFs of Satellite Images with Python
Witness the evolution of our world with 40 years of Landsat data and minimal manual work
Conor O'Sullivan
May 12
Kolmogorov-Arnold Networks: the latest advance in Neural Networks, simply explained
Kolmogorov-Arnold Networks: the latest advance in Neural Networks, simply explained
The new type of network that is making waves in the ML world.
Theo Wolf
May 12
Latest
Python Decoration Is Very Useful, But When To Use Them?
Python Decoration Is Very Useful, But When To Use Them?
Summarised five typical usage patterns of Python decorators
Christopher Tao
May 12
N-BEATS — The First Interpretable Deep Learning Model That Worked for Time Series Forecasting
N-BEATS — The First Interpretable Deep Learning Model That Worked for Time Series Forecasting
An easy-to-understand deep dive into how N-BEATS works and how you can use it.
Jonte Dancker
May 11
Best Practices for Technical Columns in Database Design
Best Practices for Technical Columns in Database Design
When architecting a transactional database or a data warehouse, it’s important not to forget about various types of technical columns…
Krzysztof K. Zdeb
May 11
Deep Learning Illustrated, Part 3: Convolutional Neural Networks
Deep Learning Illustrated, Part 3: Convolutional Neural Networks
An illustrated and intuitive guide on the inner workings of a CNN
Shreya Rao
May 10
Local RAG From Scratch
Local RAG From Scratch
Develop and deploy an entirely local RAG system from scratch
Joe Sasson
May 10
CodeLlama vs. CodeGemma: Using Open Models for AI Coding Assistance
CodeLlama vs. CodeGemma: Using Open Models for AI Coding Assistance
Integrating 7B and 13B Models with an IDE and Terminal
Dmitrii Eliuseev
May 10
Early Stopping: Why Did Your Machine Learning Model Stop Training?
Early Stopping: Why Did Your Machine Learning Model Stop Training?
Why most models are small and LLMs are large
Harrison Hoffman
May 10
Machine Learning on GCP: From Notebooks to Pipelines
Machine Learning on GCP: From Notebooks to Pipelines
ML in production is not about notebooks but about pipelines
Benjamin Etienne
May 10
How I Learned SQL In 2 Weeks (From Scratch)
How I Learned SQL In 2 Weeks (From Scratch)
How I became proficient in SQL to help land my first data science job
Egor Howell
May 10
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