Topic
Scikit Learn
2 episodes
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Text Summarization with Scikit LLM MachineLearningMastery
Justy and Cody kick around a MachineLearningMastery post on using scikit-LLM for text summarization inside scikit-learn pipelines. Cody is skeptical about the real value of wrapping a summarizer as a transformer, while Justy argues it fits messy, text-heavy workflows where teams already live in sklearn. They land on a cautious verdict: useful for specific preprocessing jobs, but not a magic shortcut, especially once cost, latency, and summary quality enter the picture.
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The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example) | Towards Data Science
Data Science The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or a LLM (Explained with One Example) A practical use case to describe how the data scientist job changed across three generations of machine learning Piero Paialunga Nov 11, 2025 10 min read Share Photo by Markus Spiske on Unsplash One of the best songs of the universe (made by one of the most iconic singers ever) says this: Wish I could go back And change these years I’m going through changes Black sabbath – Changes This song is incredibly powerful and talks about how life can change right in front of you so quickly. That song is about a broken heart and a love story.