Machine Learning Quiz

Welcome to our Machine Learning quiz! Machine Learning is a subset of Artificial Intelligence that involves training algorithms to make predictions or decisions based on data. It’s being used in a wide range of applications, from image recognition to fraud detection. Whether you’re a developer, data scientist, or just interested in the field, this quiz will challenge your knowledge of Machine Learning concepts, techniques, and applications. With a mix of multiple choice and scenario-based questions, you’ll be tested on topics like supervised and unsupervised learning, neural networks, deep learning, and more. So, let’s get started and see how well you know Machine Learning!

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Machine Learning Quiz

Test your knowledge of Machine Learning concepts, techniques, and applications with our interactive quiz!

1 / 30

Which technology can work with both structured and unstructured data types?

2 / 30

A Machine learning model takes less time to train a model

3 / 30

Which is the last step in the machine learning life cycle?

4 / 30

What is the process called in which data is cleaned and converted into a usable format?

5 / 30

_______ provides a table as output and presents the performance of the model.

6 / 30

What is y in the Binary classification equation below? ?(ylog(p)+(1?y)log(1?p))

7 / 30

How many types of learners are there in classification problems?

8 / 30

The algorithm which implements the classification on a dataset is known as a

9 / 30

Ridge Regression is also called as

10 / 30

Which regression is used for predictive analysis?

11 / 30

______ is an observation that either contains a very small value or a very high value.

12 / 30

Which library is used for plotting any type of chart in python?

13 / 30

How can we import NumPy?

14 / 30

What is the full form of CSV?

15 / 30

Which form of data denotes the nominal variable in an ordered list?

16 / 30

What is called the initial set of the parameter before the data begins learning?

17 / 30

What is the first step while splitting the data in ML?

18 / 30

What is the most important part of ML?

19 / 30

The data that is processed in machine learning is

20 / 30

Which is the first step in the machine learning model?

21 / 30

Virtual assitants use

22 / 30

Which learning is used to analyze emails and respond to most important message first?

23 / 30

Robotics come under which machine learning

24 / 30

Semi-supervised learning is used in

25 / 30

Which of the following split the data set into groups based on simarility

26 / 30

Which model combines the predictions to produce an accurate prediction?

27 / 30

Supervised machine learning is not good at

28 / 30

In supervised learning, scientist use

29 / 30

How many types of Machine learning are there?

30 / 30

Machine Learning uses ____ data as input.

Author

  • Barry Allen

    A Full Stack Developer with 10+ years of experience in different domain including SAP, Blockchain, AI and Web Development.

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