Real-world data is in most cases incomplete, noisy, and inconsistent.
Machine learning models are as good as the data they're trained on.
Cross-validation is an invaluable tool for data scientists.
Algorithms drive the machine learning world.
Isn't linear regression part of statistics?
Computer vision is the field of artificial intelligence that enables machines to "see".
Unsupervised learning lets machines learn on their own.
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