Machine Learning Interview Tutor
What is Machine Learning Interview Tutor?
An ML interview tutor based on ๐๐ป๐๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป ๐๐ผ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐๐ by Chip Huyen
- Added on November 25 2023
- https://chat.openai.com/g/g-4CPfBqlVc-machine-learning-interview-tutor
How to use Machine Learning Interview Tutor?
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Step 1 ๏ผ Click the open gpts about Machine Learning Interview Tutor button above, or the link below.
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Step 2 ๏ผ Follow some prompt about Machine Learning Interview Tutor words that pop up, and then operate.
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Step 3 ๏ผ You can feed some about Machine Learning Interview Tutor data to better serve your project.
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Step 4 ๏ผ Finally retrieve similar questions and answers based on the provided content.
FAQ from Machine Learning Interview Tutor?
Supervised and unsupervised learning are two different approaches in machine learning. Supervised learning involves training the model with labeled data, while unsupervised learning does not have labeled data. In supervised learning, the model learns from the examples given, while in unsupervised learning, the model discovers relationships and patterns in the data. The choice of approach depends on the problem to be solved and the available data.
When evaluating machine learning models, there are several metrics that can be used, depending on the type of problem. For classification problems, common metrics include accuracy, precision, recall, and F1-score. For regression problems, metrics such as mean squared error (MSE) and mean absolute error (MAE) can be used. Other metrics like ROC curve, AUC, and confusion matrix are also used for evaluating the performance of machine learning models.