When Predictors Collide: Mastering VIF in Multicollinear Regression
In models, the independent variables must be not or only slightly dependent on each other, i.e. that they are not ...
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Attractors in Neural Network Circuits: Beauty and Chaos
The state space of the first two neuron activations over time follows an attractor. is one thing in common between ...
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Build Your Own AI Coding Assistant in JupyterLab with Ollama and Hugging Face
Jupyter AI brings generative AI capabilities right into the interface. Having a local AI assistant ensures privacy, reduces latency, and ...
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R.E.D.: Scaling Text Classification with Expert Delegation
With the new age of problem-solving augmented by Large Language Models (LLMs), only a handful of problems remain that have ...
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Evolving Product Operating Models in the Age of AI
previous article on organizing for AI (link), we looked at how the interplay between three key dimensions — ownership of ...
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Google’s Data Science Agent: Can It Really Do Your Job?
On March 3rd, Google officially rolled out its Data Science Agent to most Colab users for free. This is not ...
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One Turn After Another | Towards Data Science
While some games, like rock-paper-scissors, only work if all payers decide on their actions simultaneously, other games, like chess or ...
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Mastering Prompt Engineering with Functional Testing: A Systematic Guide to Reliable LLM Outputs
Creating efficient prompts for large language models often starts as a simple task… but it doesn’t always stay that way. ...
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