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Editors’ Picks
Are Public Agencies Letting Open-Source Software Down?
Are Public Agencies Letting Open-Source Software Down?
Open-source software is everywhere, yet public agencies and institutions often fall short in supporting and sustaining these projects.
Ragnvald Larsen
Feb 3
😲 Quantifying Surprise — A Data Scientist’s Intro To Information Theory — Part 1/4: Foundations
😲 Quantifying Surprise — A Data Scientist’s Intro To Information Theory — Part 1/4: Foundations
Gain intuition into Information Theory and master its applications in Machine Learning and Data Analysis. Python code provided. 🐍
Eyal Kazin PhD
Feb 3
Latest
Improving Agent Systems & AI Reasoning
Improving Agent Systems & AI Reasoning
DeepSeek-R1, OpenAI o1 & o3, Test-Time Compute Scaling, Model Post-Training and the Transition to Reasoning Language Models (RLMs)
Tula Masterman
Feb 2
The Animated Monte-Carlo Tree Search (MCTS)
The Animated Monte-Carlo Tree Search (MCTS)
The algorithm at the heart of AlphaGo, AlphaGo Zero, AlphaZero and MuZero
Thomas Kurbiel
Jan 31
AI Ethics for the Everyday User — Why Should You Care?
AI Ethics for the Everyday User — Why Should You Care?
A beginner’s guide to understanding the importance of ethics in artificial intelligence
Murtaza Ali
Jan 29
How GenAI Tools Have Changed My Work as a Data Scientist
How GenAI Tools Have Changed My Work as a Data Scientist
An overview of the 4 use cases and 6 GenAI tools I use
Jonte Dancker
Jan 28
Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems
Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems
How natural systems fundamental laws help explain AI’s unexpected abilities
Javier Marin
Jan 22
The Solar Cycle(s): history, data analysis and trend forecasting.
The Solar Cycle(s): history, data analysis and trend forecasting.
A brief article on the Solar Cycles: data analysis and time series forecasting for the incoming solar maximum in 2025 and the next decades.
Pau Blasco i Roca
Jan 23
Fighting Fraud Fairly: Upgrade Your AI Toolkit 🧰
Fighting Fraud Fairly: Upgrade Your AI Toolkit 🧰
A practical approach to address bias in AI systems
César Ortega Quintero
Jan 16
How Most Organizations Get Data Strategy Wrong — and How to Fix It
How Most Organizations Get Data Strategy Wrong — and How to Fix It
Redefining Data Strategy to Drive Competitive Advantage with Data, Analytics and AI
Jens Linden, PhD
Jan 20
How to Pick Between Data Science, Data Analytics, Data Engineering, ML Engineering, and SW…
How to Pick Between Data Science, Data Analytics, Data Engineering, ML Engineering, and SW…
Make the right choice for YOU
Marina Wyss - Gratitude Driven
Jan 19
The Death of Human-Written Code Tutorials in the ChatGPT Era … Or Not?
The Death of Human-Written Code Tutorials in the ChatGPT Era … Or Not?
An argument in favor of human-written coding tutorials in the new age of LLMs.
Murtaza Ali
Jan 16
Water Cooler Small Talk, Ep 6: Benford’s Law
Water Cooler Small Talk, Ep 6: Benford’s Law
A look into the strange first digit distribution of naturally occurring datasets
Maria Mouschoutzi, PhD
Jan 15
Using Optimization to Solve Adversarial Problems
Using Optimization to Solve Adversarial Problems
An example of simultaneously optimizing two policies for two adversarial agents, looking specifically at the cat and mouse game.
W Brett Kennedy
Jan 14
Building Deterministic GenAI Chatbots In Regulated Industries
Building Deterministic GenAI Chatbots In Regulated Industries
How to Build Reliable and Contextual AI Chatbots for Finance, Healthcare and Other Industries
Ashley Peacock
Jan 13
Understanding the Evolution of ChatGPT: Part 2 — GPT-2 and GPT-3
Understanding the Evolution of ChatGPT: Part 2 — GPT-2 and GPT-3
Scaling from 117M to 175B: Insights into GPT-2 and GPT-3.
Shirley Li
Jan 13
What Would a Stoic Do? — An AI-Based Decision-Making Model
What Would a Stoic Do? — An AI-Based Decision-Making Model
Using AI to build Marcus Aurelius’ reincarnation
Pol Marin
Jan 12
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