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Machine Learning Midterm This TWO-SIDED exam is open book. You may bring in your homework, class notes and text- books to help you. You will have 1 hour and 15 minutes. Write all answers in the blue books provided. Please make sure YOUR NAME is on each of your blue books. Square brackets [] denote the points for a question. ANSWER

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Nov 18, 2020 · That’s a question with no one answer. For me, a quantum machine-learning model is one where the thing that’s used to solve the task is a quantum computation. These computations don’t have clear recipes to follow, like Shor’s algorithm—a quantum algorithm for integer factorization.

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Implementation questions about machine learning algorithms. General questions about machine learning should be posted to their specific communities.

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Apr 03, 2018 · Announcing the news Microsoft executive vice president for artificial intelligence Harry Shum talked about an AI agent that would use machine comprehension to answer complex questions about, say, how tax law applied to a company to work like “a secretary with an intuitive knowledge of your company’s inner workings and deals. The agent would ... Aug 13, 2018 · Machine Learning is making strides in automating and improving parts of the Customer Service (CS) stack quickly, like auto-routing tickets to the right agent or improving your knowledge base. Our Vertical Spotlight on Customer Service will give you all the information you need to get started.

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The question paper will have ten questions. There will be 2 questions from each module. Each question will have questions covering all the topics under a module. The students will have to answer 5 full questions, selecting one full question from each module. Text Books: 1. Tom M. Mitchell, Machine Learning , India Edition 2013, McGraw Hill ...

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Supervised machine learning: The program is “trained” on a pre-defined set of “training examples”, which then facilitate its ability to reach an accurate conclusion when given new data. Unsupervised machine learning: The program is given a bunch of data and must find patterns and relationships therein.

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