Databricks Has a Trick That Lets AI Models Improve Themselves
Databricks, a company that helps big businesses build custom artificial intelligence models, has developed a machine-learning trick that can boost ...
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Least Squares: Where Convenience Meets Optimality
0. Least Squares is used almost everywhere when it comes to numerical optimization and regression tasks in machine learning. It ...
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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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Effortless Spreadsheet Normalisation With LLM
This article is part of a series of articles on automating Data Cleaning for any tabular dataset. You can test ...
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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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Roadmap to Becoming a Data Scientist, Part 4: Advanced Machine Learning
Introduction Data science is undoubtedly one of the most fascinating fields today. Following significant breakthroughs in machine learning about a decade ...
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Should Data Scientists Care About Quantum Computing?
I am sure the quantum hype has reached every person in tech (and outside it, most probably). With some over-the-top ...
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Build a Decision Tree in Polars from Scratch
Decision Tree algorithms have always fascinated me. They are easy to implement and achieve good results on various classification and ...
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