Which of the following are machine learning models that can solve classification problems directly (without modifications or combination with other models/methods)? Select all that apply. random forest k-nearest neighbor classification linear regression polynomial regression O gradient descent mini-batch stochastic gradient descent ridge regression decision tree stochastic gradient descent over-fitting multi-class logistic regression regularization image convolution LASSO regression

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Q: How can rhetoric play a role in computer science?

A:

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Problems on Turing Machines

In the computational world, the Turing machine is a powerful computation engine. The invention of the Turing Machine is done by Alan Turing in 1936. A Turing Machine (TM) is a diagrammatic model of a fictional computer. It determines an output from a set of input variables using a pre-defined set of rules. It is used to get around the limitations of finite automata and pushdown automata.