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Machine Learning Midterm Questions exam with perfect answers 2024 $11.99   Add to cart
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Machine Learning Midterm Questions exam with perfect answers 2024
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  • Machine Learning Midte
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  • Machine Learning Midte

How would you define Machine Learning? correct answers The field of study that gives computers the ability to learn without being explicitly programmed. Uses for machine learning correct answers - complex problems - large data - adaptability of problem - parameter tuning most common supe...

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  • August 3, 2024
  • 4
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers

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  • machine learning midterm questions

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  • Machine Learning Midte
  • Machine Learning Midte

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Machine Learning Midterm Questions

How would you define Machine Learning? correct answers The field of study that gives
computers the ability to learn without being explicitly programmed.

Uses for machine learning correct answers - complex problems
- large data
- adaptability of problem
- parameter tuning

most common supervised tasks? correct answers - classification
- regression
- support vector machine

most common unsupervised tasks correct answers - anomaly detection
- clustering
- k-means
- neural networks

What type of Machine Learning algorithm would you use to allow a robot to walk in
various unknown terrains? correct answers reinforcement learning

What type of algorithm would you use to segment your customers into multiple groups?
correct answers clustering

Would you frame the problem of spam detection as a supervised learning problem or an
unsupervised learning problem? correct answers supervised

What is an online learning system? correct answers System that can learn
incrementally allowing it to adapt rapidly to changing data & autonomous systems &
perform effectively on very large data.

(stochastic)

What is out-of-core learning? correct answers Can handle vast quantities of data that
can't fit in the computer's memory

Chops data into minibatches & uses online learning techniques

(mini-batch)

What type of learning algorithm relies on a similarity measure to make predictions?
correct answers instance-based learning

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