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

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?

Which of the following types Of data analysis models is/are used to conclude continuous valued functions?

Which of the following machine learning frameworks works at the higher level of abstraction?

Which of the following machine learning tools provides API for the neural networks?

Simple linear regression is characterized by how many independent variables?

Which of the following machine learning tools supports vector machines, dimensionality reduction, and online learning, etc.?