VII_SEM_Pattern_Recognition_Quiz_1

Machine Learning: What common similarities do linear regression and logistic regression have in terms of the learning process?

Define "supervised learning," "unsupervised learning," and "reinforcement learning" concisely.

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Machine Learning: Do Regression models and artificial neural networs have similar common functions in terms of the learning process?

Briefly define supervised, unsupervised, and reinforcement learning.

QUESTION 43 During backpropagation in a supervised learning model, learning is represented as the adjustment of:     Nodes     Hidden units     Connection weights     Error signals

Define briefly the terms "supervised learning," "unsupervised learning," and "reinforcement learning."

Explain briefly what supervised, unsupervised, and reinforcement learning are.

what is the supervised. learning and unsupervised learning.

Enumerate 5 advantages and disadvantages of using computer in learning

Compare between supervised learning and unsupervised learning and draw the diagram

Explain what supervised, unsupervised, and reinforcement learning are in a succinct manner.

Explain briefly supervised learning, unsupervised learning and Reinforcement learning?

Computer science Explain the decision tree learning idea.

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Deep learning models are optimized through 'back propagation' that is built on gradient descent. True False

Computer Science Using computers and other automated tools to grade true-false and multiple-choice tests is widespread, but grading essays has been reserved for instructors. Until now. Software developed by a nonprofit enterprise founded by Harvard and MIT recently released software that can grade student essays and short written answers. Students answer online instead of in a blue book and immediately receive their grade after clicking a Send button. The software uses artificial intelligence (it initially “learns” how to grade an instructor’s test by reviewing 100 essay exams that the instructor scored) and is designed to free up professors for other tasks, as well as give students the opportunity to immediately revise their graded essays for an improved grade. But does the system work? Are the automated grades similar to what a human grader would award? Skeptics (including the National Council of Teachers of English) say no. Objections include a lack of tests to support the validity…

What are some techniques for determining which characteristics to include in a machine-learning model?

Explain the differences between supervised and unsupervised learning using an example.

Supervised learning example: Iris classificationLet’s take a look at another example of this process, using the Iris dataset we discussed earlier. Our question will be this: given a model trained on a portion of the Iris data, how well can we predict the remaining labels?

computer science - How do Random Forest and Ensemble Learning differ?

What is “semi-supervised” learning? What problem(s) does it solve and how is it done?