The Role of Luck in Sports: Can We Measure It?
: When Skill Isn’t Enough You’re watching your team dominate possession, double the number of shots… and still lose. Is ...
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How I Automated My Machine Learning Workflow with Just 10 Lines of Python
is magical — until you’re stuck trying to decide which model to use for your dataset. Should you go with a random ...
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Prescriptive Modeling Unpacked: A Complete Guide to Intervention With Bayesian Modeling.
In this article, I will demonstrate how to move from simply forecasting outcomes to actively intervening in systems to steer ...
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Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value
in an enterprise organization, you’ve probably felt the paradox firsthand. AI dominates your strategic decks, fills your review meetings, and ...
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Building a Modern Dashboard with Python and Gradio
second in a short series on developing data dashboards using the latest Python-based GUI development tools, Streamlit, Gradio, and Taipy. ...
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The Journey from Jupyter to Programmer: A Quick-Start Guide
, myself included, start their coding journey using a Jupyter Notebook. These files have the extension .ipynb, which stands for ...
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AGI Is Not Multimodal
“In projecting language back as the model for thought, we lose sight of the tacit embodied understanding that undergirds our ...
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Reducing Time to Value for Data Science Projects: Part 2
In part 1 of this series we spoke about creating re-usable code assets that can be deployed across multiple projects. ...
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Data Drift Is Not the Actual Problem: Your Monitoring Strategy Is
is an approach to accuracy that devours data, learns patterns, and predicts. However, with the best models, even those predictions ...
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Evaluating LLMs for Inference, or Lessons from Teaching for Machine Learning
opportunities recently to work on the task of evaluating LLM Inference performance, and I think it’s a good topic to ...
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