Answer / Anup Kumar Srivastav

To become an expert in machine learning, follow these steps:
1. Get a solid foundation in mathematics, particularly linear algebra, calculus, and probability.
2. Learn programming languages such as Python or R that are commonly used for machine learning.
3. Study machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
4. Work on projects and competitions to gain practical experience.
5. Keep up with the latest research in the field.

Can you name some popular machine learning algorithms?

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Can you explain how do you handle missing or corrupted data in a dataset?

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Is python the best language for machine learning?

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Explain how do you ensure you're not overfitting with a model?

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Define kernel svm?

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Do you have research experience in machine learning?

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Differentiate between a parameter and a hyperparameter?

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What are confounding variables?

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What are the three stages to build the hypotheses or model in machine learning?

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Tell me what is supervised versus unsupervised learning?

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What's the “kernel trick” and how is it useful?

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What language does google use for machine learning?

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