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What do you understand by statistical power of sensitivity and how do you calculate it?
Explain embedding in tensorflow?
Explain the concept of adversarial attacks and how to protect AI models from them.
What is machine learning basics?
What are the programming elements in TensorFlow?
Explain the bias-variance tradeoff.
What are the risks of using open-source LLMs, and how can they be mitigated?
What is data standardization in ml?
In artificial intelligence, what do semantic analysis used for?
Explain the Algorithm of Decision Trees in Machine Learning?
How do you do for loops in python and r?
How do bias and variance play out in machine learning?
What key terms and concepts should one understand when working with LLMs?
What is advantage of using apply family of functions in r?
What's google's artificial intelligence called?
