Answer Posted / Lavi Kumari

The objective of Machine Learning is to develop models that can learn patterns from data and make accurate predictions or decisions on new, unseen data. This involves training a model using labeled examples (Supervised Learning) or finding hidden structures in unlabeled data (Unsupervised Learning). The goal is to create intelligent systems capable of solving complex problems, recognizing speech, understanding images, recommending products, and much more.

What are standardization and normalisation? Give one advantage of each over the other?

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Tell us do you have research experience in machine learning?

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Tell me what are the last machine learning papers you've read?

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Do you have research experience in machine learning?

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