Answer / Jaya Dixit

A laptop suitable for machine learning should have a powerful CPU (Intel Core i5 or higher), GPU (such as NVIDIA GeForce GTX series), sufficient RAM (minimum 8 GB but ideally 16 GB or more), and a solid-state drive (SSD). Examples of laptops include the Dell XPS, Lenovo ThinkPad, and ASUS ZenBook.

What is convergence in machine learning?

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Tell us why is “naive” bayes naive?

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What is the benefit of naive bayes in machine learning?

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“People who bought this, also bought….” Recommendations on amazon are a result of which machine learning algorithm?

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What is the batch in machine learning?

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What is the curse of dimensionality? Can you list some ways to deal with it?

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What is your training in machine learning and what types of hands-on experience do you have?

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What is PCA, KPCA and ICA used for?

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Tell us which one would you prefer to choose – model accuracy or model performance?

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Is it better to have too many false positives or too many false negatives? Explain.

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Tell me how is knn different from k-means clustering?

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What is the difference between artificial learning and machine learning?

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