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What are the key components of Support Vector Machine?

What steps does a bounding box regressor take to localize objects in images?

What steps would you take to replicate Conway’s Game of Life in Python?

Could you demonstrate a Python function that calculates the Fibonacci sequence?

Create a subscription-based streaming service like Netflix.

How do bagging and boosting techniques differ from each other in machine learning, and in what ways do they impact the bias and variance of models?

How does the training time complexity of SVMs scale with the size of the dataset? How resource-intensive is the inference operation in a support vector machine in terms of time complexity? What impact do Linear and RBF kernels have on the training and inference time complexity of SVM models?

Would you be able to write code for inverting a binary tree in the programming language you prefer?

Could you explain the essential phases of backpropagation used in neural network training?

What makes LSTMs an advancement over RNNs in certain scenarios?