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tomaugspurger.net | ||
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www.ethanrosenthal.com
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| | | | | How would you build a machine learning algorithm to solve the following types of problems? Predict which medal athletes will win in the olympics. Predict how a shoe will fit a foot (too small, perfect, too big). Predict how many stars a critic will rate a movie. If you reach into your typical toolkit, you'll probably either reach for regression or multiclass classification. For regression, maybe you treat the number of stars (1-5) in the movie critic question as your target, and you train a model using m... | |
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initialcommit.com
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| | | | | In this tutorial you will learn how to use the pandas.head() function and how it can be used in machine learning, as well as how to use the pandas.tail() function. | |
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isaacslavitt.com
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| | | | | [AI summary] The provided text is a detailed tutorial on using scikit-learn for machine learning tasks, including data preprocessing, model selection, cross-validation, and pipeline creation. It also touches on integrating R and Julia with Python through Jupyter notebooks. | |
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aymannadeem.github.io
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| | | Last September, I attended the O'Reilly Artificial Intelligence conference. Despite possessing a formal background in the field, many of the talks were unapproachable. Technical presentations commonly fall victim to dense slide decks loaded with obtuse jargon and incomprehensible descriptions. It occurred to me that "Artificial Intelligence" has become a buzzword drained of clear meaning. For these reasons, this post attempts to do three things: | ||
