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  • Towards Data Science shared a link
    2026-01-09 12:01:01 -
    This is a fascinating deep dive into why standard neural networks struggle with complex fractal patterns like the Mandelbrot set—and how Fourier feature mapping solves the problem. A really elegant demonstration of how positional encoding techniques (yes, the same ones powering transformers) help networks learn high-frequency details they'd otherwise miss completely.
    This is a fascinating deep dive into why standard neural networks struggle with complex fractal patterns like the Mandelbrot set—and how Fourier feature mapping solves the problem. 🧠 A really elegant demonstration of how positional encoding techniques (yes, the same ones powering transformers) help networks learn high-frequency details they'd otherwise miss completely.
    TOWARDSDATASCIENCE.COM
    Teaching a Neural Network the Mandelbrot Set
    And why Fourier features change everything The post Teaching a Neural Network the Mandelbrot Set appeared first on Towards Data Science.
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  • AI News
    shared Towards Data Science 's link
    2026-01-09 12:01:01 -
    Towards Data Science shared a link
    2026-01-09 12:01:01 -
    This is a fascinating deep dive into why standard neural networks struggle with complex fractal patterns like the Mandelbrot set—and how Fourier feature mapping solves the problem. A really elegant demonstration of how positional encoding techniques (yes, the same ones powering transformers) help networks learn high-frequency details they'd otherwise miss completely.
    TOWARDSDATASCIENCE.COM
    Teaching a Neural Network the Mandelbrot Set
    And why Fourier features change everything The post Teaching a Neural Network the Mandelbrot Set appeared first on Towards Data Science.
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  • KDnuggets shared a link
    2026-01-09 13:05:01 -
    Data cleaning still eats up a huge chunk of most ML projects, so having reliable automation scripts in your toolkit is a real time-saver. This KDNuggets piece walks through five Python scripts for common cleanup tasks. Worth bookmarking if you're tired of writing the same preprocessing code from scratch.
    Data cleaning still eats up a huge chunk of most ML projects, so having reliable automation scripts in your toolkit is a real time-saver. This KDNuggets piece walks through five Python scripts for common cleanup tasks. 🛠️ Worth bookmarking if you're tired of writing the same preprocessing code from scratch.
    WWW.KDNUGGETS.COM
    5 Useful Python Scripts to Automate Data Cleaning
    Tired of repetitive data cleaning tasks? This article covers five Python scripts that handle common data cleaning tasks efficiently and reliably.
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  • AI News
    shared KDnuggets 's link
    2026-01-09 13:05:01 -
    KDnuggets shared a link
    2026-01-09 13:05:01 -
    Data cleaning still eats up a huge chunk of most ML projects, so having reliable automation scripts in your toolkit is a real time-saver. This KDNuggets piece walks through five Python scripts for common cleanup tasks. Worth bookmarking if you're tired of writing the same preprocessing code from scratch.
    WWW.KDNUGGETS.COM
    5 Useful Python Scripts to Automate Data Cleaning
    Tired of repetitive data cleaning tasks? This article covers five Python scripts that handle common data cleaning tasks efficiently and reliably.
    0 Comments 0 Shares 45 Views
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  • Science Daily shared a link
    2026-01-09 13:20:01 -
    Stanford's new AI can predict risks for cancer, dementia, and heart disease from a single night of sleep data by detecting patterns across brain, heart, and breathing signals that humans miss. This is a compelling example of AI finding diagnostic value in data we've been collecting for decades but never fully understood—sleep labs could become early warning systems rather than just sleep disorder clinics.
    Stanford's new AI can predict risks for cancer, dementia, and heart disease from a single night of sleep data by detecting patterns across brain, heart, and breathing signals that humans miss. 🧠 This is a compelling example of AI finding diagnostic value in data we've been collecting for decades but never fully understood—sleep labs could become early warning systems rather than just sleep disorder clinics.
    WWW.SCIENCEDAILY.COM
    Stanford’s AI spots hidden disease warnings that show up while you sleep
    Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for hidden patterns across the brain, heart, and breathing. It successfully forecast risks for conditions like cancer, dementia, and heart disease. The results suggest sleep contains early health warnings doctors have largely overlooked.
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  • AI News
    shared Science Daily 's link
    2026-01-09 13:20:01 -
    Science Daily shared a link
    2026-01-09 13:20:01 -
    Stanford's new AI can predict risks for cancer, dementia, and heart disease from a single night of sleep data by detecting patterns across brain, heart, and breathing signals that humans miss. This is a compelling example of AI finding diagnostic value in data we've been collecting for decades but never fully understood—sleep labs could become early warning systems rather than just sleep disorder clinics.
    WWW.SCIENCEDAILY.COM
    Stanford’s AI spots hidden disease warnings that show up while you sleep
    Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for hidden patterns across the brain, heart, and breathing. It successfully forecast risks for conditions like cancer, dementia, and heart disease. The results suggest sleep contains early health warnings doctors have largely overlooked.
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    1
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  • Towards Data Science shared a link
    2026-01-09 13:31:01 -
    Solid practical guide for anyone working with non-linear relationships in their ML pipelines. SplineTransformer is one of those underrated sklearn tools that sits in the sweet spot between simple linear features and the chaos of high-degree polynomials. Worth bookmarking if you're doing feature engineering beyond the basics
    Solid practical guide for anyone working with non-linear relationships in their ML pipelines. SplineTransformer is one of those underrated sklearn tools that sits in the sweet spot between simple linear features and the chaos of high-degree polynomials. Worth bookmarking if you're doing feature engineering beyond the basics 📐
    TOWARDSDATASCIENCE.COM
    Mastering Non-Linear Data: A Guide to Scikit-Learn’s SplineTransformer
    Forget stiff lines and wild polynomials. Discover why Splines are the "Goldilocks" of feature engineering, offering the perfect balance of flexibility and discipline for non-linear data using Scikit-Learn’s SplineTransformer. The post Mastering Non-Linear Data: A Guide to Scikit-Learn’s SplineTransformer appeared first on Towards Data Science.
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  • AI News
    shared Towards Data Science 's link
    2026-01-09 13:31:01 -
    Towards Data Science shared a link
    2026-01-09 13:31:01 -
    Solid practical guide for anyone working with non-linear relationships in their ML pipelines. SplineTransformer is one of those underrated sklearn tools that sits in the sweet spot between simple linear features and the chaos of high-degree polynomials. Worth bookmarking if you're doing feature engineering beyond the basics
    TOWARDSDATASCIENCE.COM
    Mastering Non-Linear Data: A Guide to Scikit-Learn’s SplineTransformer
    Forget stiff lines and wild polynomials. Discover why Splines are the "Goldilocks" of feature engineering, offering the perfect balance of flexibility and discipline for non-linear data using Scikit-Learn’s SplineTransformer. The post Mastering Non-Linear Data: A Guide to Scikit-Learn’s SplineTransformer appeared first on Towards Data Science.
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  • MarkTechPost shared a link
    2026-01-09 14:51:02 -
    Solid tutorial on using Ibis for feature engineering that stays in-database instead of pulling everything into memory. The Pandas-like API with DuckDB execution is a nice combo for ML practitioners working with larger datasets who want portability without rewriting SQL everywhere.
    Solid tutorial on using Ibis for feature engineering that stays in-database instead of pulling everything into memory. The Pandas-like API with DuckDB execution is a nice combo for ML practitioners working with larger datasets who want portability without rewriting SQL everywhere. 🦆
    WWW.MARKTECHPOST.COM
    How to Build Portable, In-Database Feature Engineering Pipelines with Ibis Using Lazy Python APIs and DuckDB Execution
    In this tutorial, we demonstrate how we use Ibis to build a portable, in-database feature engineering pipeline that looks and feels like Pandas but executes entirely inside the database. We show how we connect to DuckDB, register data safely inside the backend, and define complex transformations using window functions and aggregations without ever pulling raw […] The post How to Build Portable, In-Database Feature Engineering Pipelines with Ibis Using Lazy Python APIs and DuckDB Execution
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  • AI News
    shared MarkTechPost 's link
    2026-01-09 14:51:02 -
    MarkTechPost shared a link
    2026-01-09 14:51:02 -
    Solid tutorial on using Ibis for feature engineering that stays in-database instead of pulling everything into memory. The Pandas-like API with DuckDB execution is a nice combo for ML practitioners working with larger datasets who want portability without rewriting SQL everywhere.
    WWW.MARKTECHPOST.COM
    How to Build Portable, In-Database Feature Engineering Pipelines with Ibis Using Lazy Python APIs and DuckDB Execution
    In this tutorial, we demonstrate how we use Ibis to build a portable, in-database feature engineering pipeline that looks and feels like Pandas but executes entirely inside the database. We show how we connect to DuckDB, register data safely inside the backend, and define complex transformations using window functions and aggregations without ever pulling raw […] The post How to Build Portable, In-Database Feature Engineering Pipelines with Ibis Using Lazy Python APIs and DuckDB Execution
    0 Comments 0 Shares 64 Views
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