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Gemma 3 Is Here — Google's Open-Source LLMs Just Got a Big Upgrade
A complete comparison of Gemma 1, 2, and 3 — model sizes, architecture changes, multimodal support, context length upgrades, and what makes Gemma 3 a…
Apr 2
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Data Science Letter
March 2025
Industry Applications of AI, ML & Data Science
Explore practical case studies showing how AI and data science are driving innovation across industries.
Mar 27
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Data Science Letter
November 2024
LightGBM vs XGBoost vs Catboost
Deep dive into similarities and differences of LightGBM, XGBoost and CatBoost in 10 minutes!
Nov 7, 2024
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Data Science Letter
August 2024
Practical guides on Catboost
What exactly is Catboost? How does it differ from LightGBM and XGBoost?
Aug 27, 2024
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Data Science Letter
May 2024
Covariate adjustments in AB tests
The whats, whys and hows of covariate adjustments in AB tests!
May 11, 2024
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Data Science Letter
Our list of deep-dive topics on causal inference and experimentation
Deep-dive series to causal inference methods and advanced experimentation topics, from covariate adjustment to causal ML, from AB testing to synthetic…
May 4, 2024
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Data Science Letter
Randomised control trials
Why is RCT important? What are common types of RCTs in data science?
May 4, 2024
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Data Science Letter
April 2024
Practical guides of boosting in scikit-learn
An deep-dive article on boosting algorithms in scikit-learn
Apr 19, 2024
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Data Science Letter
Practical guides on bootstrapping
How to use bootstrapping effectively in data science domains? What are the common considerations?
Apr 5, 2024
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Data Science Letter
Concepts of multi-armed bandits
An essential introduction to key concepts of multi-armed bandits, epsilon-greedy, UCB, Bayesian UCB, Thompson sampling
Apr 1, 2024
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Data Science Letter
March 2024
Selection bias
What is Selection bias? How does it affect interpretations of AB tests?
Mar 28, 2024
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Data Science Letter
Practical guides on LightGBM
Deep dive into practicalities of LightGBM
Mar 26, 2024
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Data Science Letter
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