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| | Interpretable machine learning is key to understanding how machine learning models work. In this article learn about LIME and python implementation of it.
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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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| | Learn data science and machine learning in Python, pandas and scikit learn! This is a free series of 20 in-depth tutorial articles.
| | www.techradar.com
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| AI is evolving faster than its risk averse cousin, regulation