ראיון עבודה machine learning

You are using K-nearest neighbor and you have a K of 1. What are you likely to see when you train the model?

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מיין לפי

Are data model bias and variance a challenge with unsupervised learning?

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מיין לפי

Which choice is best for binary classification?

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מיין לפי

With traditional programming, the programmer typically inputs commands. With machine learning, the programmer inputs

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מיין לפי

Why is it important for machine learning algorithms to have access to high-quality data?

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מיין לפי

In K-nearest neighbor, the closer you are to neighbor, the more likely you are to

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מיין לפי

In the HBO show Silicon Valley, one of the characters creates a mobile application called Not Hot Dog. It works by having the user take a photograph of food with their mobile device. Then the app says whether the food is a hot dog. To create the app, the software developer uploaded hundreds of thousands of pictures of hot dogs. How would you describe this type of machine learning?

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מיין לפי

You work for a large pharmaceutical company whose data science team wants to use unsupervised learning machine algorithms to help discover new drugs. What is an advantage to this approach?

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מיין לפי

In 2015, Google created a machine learning system that could beat a human in the game of Go. This extremely complex game is thought to have more gameplay possibilities than there are atoms of the universe. The first version of the system won by observing hundreds of thousands of hours of human gameplay; the second version learned how to play by getting rewards while playing against itself. How would you describe this transition to different machine learning approaches?

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מיין לפי

The security company you work for is thinking about adding machine learning algorithms to their computer network threat detection appliance. What is one advantage of using machine learning?

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מיין לפי

ראיון עבודה machine learning

Discuss, Learn and be Happy דיון בשאלות

You are using K-nearest neighbor and you have a K of 1. What are you likely to see when you train the model?

Are data model bias and variance a challenge with unsupervised learning?

Which choice is best for binary classification?

With traditional programming, the programmer typically inputs commands. With machine learning, the programmer inputs

Why is it important for machine learning algorithms to have access to high-quality data?

In K-nearest neighbor, the closer you are to neighbor, the more likely you are to

You work for a large pharmaceutical company whose data science team wants to use unsupervised learning machine algorithms to help discover new drugs. What is an advantage to this approach?

The security company you work for is thinking about adding machine learning algorithms to their computer network threat detection appliance. What is one advantage of using machine learning?