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What is model capacity?
How can AI help reduce carbon footprints?
How do you decide whether to fine-tune or train a model from scratch?
What are standardization and normalisation?
What are actuators in the robotics?
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Why is it mandatory to clean a data set?
To answer any query how the bayesian network can be used?
Give some best books to artificial intelligence?
What is bagging and boosting in Machine Learning?
What is overfitting and underfitting?
What do you understand by the selection bias? What are its various types?
How can you find overfitting in tensforflow ? How can you avoid it ?
What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
Which is better for image classification? Supervised or unsupervised classification? Justify.
