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AI & Machine Learning
Fundamentals of Artificial Intelligence, Machine Learning and Deep Learning.
1
Supervised vs Unsupervised vs Reinforcement Learning?
2
Precision vs Recall - When to use which?
3
What is Overfitting and how do you prevent it?
4
What is Gradient Descent?
5
What is the Bias-Variance Tradeoff?
6
What is a Confusion Matrix?
7
What is Transfer Learning?
8
What are Activation Functions and why are they needed?
9
What is NLP (Natural Language Processing)?
10
Explain K-Means Clustering.