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What is conditional probability explain with an example?
Which of the Following problems can be modeled as CSP? a) 8-Puzzle problem b) 8-Queen problem c) Map coloring problem d) Sudoku
Differentiate between data science, machine learning and ai.
How artificial neural networks can be applied in future?
How was bayes’ theorem useful in a machine learning context?
Explain the k-nearest algorithm different from the knn clustering?
How do ethical concerns differ between general-purpose AI and domain-specific AI?
Why classification is important in machine learning?
Are expected value and mean value different?
When does regularization become necessary in machine learning?
Explain interpolation and extrapolation?
How different is a mean value different from expected value?
Why is TensorFlow the most preferred library in Deep Learning?
What is svm algorithm?
What do you mean by overfitting and underfitting algorithms?
