This quiz covers some of the following machine learning topics:
- Supervised vs unsupervised learning
- Introductory concepts on classification, regression, clustering etc.
These questions can be used as practice tests for checking your basic-level knowledge in machine learning. They can also useful as interview questions for certification exams. Please feel free to suggest.
Which of the following can be used for predicting discrete valued output?
Correct!
Wrong!
Which of the following can be used to do house price prediction?
Correct!
Wrong!
Which of the following can be used to predict the breast cancer being malignant or benign based on tumor size?
Correct!
Wrong!
Classification problem can be used to predict only two discrete valued output such as 0 and 1?
Correct!
Wrong!
In _________ problems, each of the record is associated with a label and the labels are used for learning and prediction?
Correct!
Wrong!
In _________ learning, each of the record is associated with a label and the labels are used for learning and prediction?
Correct!
Wrong!
In _________ learning, one or more groups of clusters of data is found and then labeled appropriately for future prediction?
Correct!
Wrong!
Which of the following is an example of unsupervised learning?
Correct!
Wrong!
Which of the following problem is an example of supervised learning?
Correct!
Wrong!
Introduction to Machine Learning - Set 1
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I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking
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