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Edwin Wenink by Stemming and lemmatizing with sklearn vectorizers
One of the most basic techniques in Natural Language Processing (NLP) is the creation of feature vectors based on word counts. scikit-learn provides efficient classes for this: from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer If we want to build feature vectors over a vocabulary of stemmed or lemmatized words, how can we …
Applying operations on grouped dataframes in Pandas
Flatten nested lists with a list comprehension
Wrong feature preprocessing is a source of train-test leakage
Masking with Boolean arrays in Numpy
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Introducing the AI Ethics Tool Landscape
Mnemonic for closed-form Bayesian univariate inference with Gaussians
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October 31, 2021 • July 31, 2021 • May 31, 2021 • April 1, 2021 • March 31, 2021 • March 14, 2021 •
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📖 https://en.wikipedia.org/wiki/Brandolini%27s_law
Brandolini’s law, also known as the bullshit asymmetry principle, is an internet adage that emphasizes the difficulty of debunking false, facetious, or otherwise misleading information: “The amount of energy needed to refute bullshit is an order of magnitude larger than is needed to produce it.”
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