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I was interviewed in Aug 2024.
Supervised machine learning involves training a model on labeled data to make predictions or classifications.
Supervised machine learning requires labeled data for training
Common algorithms include linear regression, decision trees, and support vector machines
Examples: predicting housing prices based on features like location and size, classifying emails as spam or not spam
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posted on 30 Jan 2024
posted on 27 Jun 2023
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data. K-means clustering is a type of unsupervised learning algorithm. KNN is a supervised learning algorithm. SQL joins are used to combine data from multiple tables.
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data
K-means clustering is a type of unsupervised learning...
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