Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
If VS Code freezes on open, the notebook is often too heavy to render because outputs are saved inside the .ipynb (dataframes, logs, plots, HTML). Clearing outputs reduces the file to cells only, ...
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What if you could cut your coding time in half, eliminate tedious debugging, and unlock the full potential of AI, all without needing advanced technical expertise? Enter AI-First Colab, a new platform ...
notebooks_2020_10_08_bulk_RNAseq_pathwayAnalysis.ipynb - a bulk RNAseq analysis tutorial I wrote using kallisto quantified data (R) youtube link for a walkthrough of ...
Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...
Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
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