Explain Machine learning Algorithm.
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Asking about topics from my cv: supervised&unsupervised learning mostly. 1)What is linear regression ? error and reguarization methods (L1&L2) 2)How to determine k in k-means? 3)difference between GMM and k-means. 4)Explain PCA. 5)How to decide how many PC (in PCA) to use? 5)What is t-SNE? 6)Explain the difference between bootstrap and bagging and give example for one model for each one of them.
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Given an array having numbers 1 to n, and also having two additional duplicates (ranging 1 to n). Find the two duplicates?
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