>>>>>>Machine Learning Interview Questions
##### What are the different ways to test hypothesis?
There are two ways in which hypotheses can be tested:
a. Correlational research
This is also known as cross-sectional research This involves observing the natural pattern or occurrence to test Original occurrences are not manipulated
b. Experimental research
We select the variables of interest Then we manipulate some aspect of the environment Observe the effect on the selected variable
##### Explain the different types of variation?
There are two types in variation explained as follows:
Systematic variation:
Introduced by experimenter
The participants are tested under different conditions and the difference in condition is introduced by experimenter
For Example to test use of woolen clothes w.r.t. temperature, we can test a group of 20 people, in both hot and cold climate. Thus, the difference introduced here is in terms of temperature only.
Unsystematic variation:
Introduced by random factors that exist between the experimental conditions.
For Example To test use of woolen clothes w.r.t. temperature, we can test a group of 20 people. Of the selected set some might behave differently than expected due to factors like illness and so on.
##### Explain repeated-measures design?
Same measure is measured under different conditions on same set participants.
The difference in two conditions can be caused by the following:
The manipulation/changes that was carried out on the participants
Factors that might affect the way in which a participant performs from one time to the next
##### What is independent design?
Same measure is measured under different conditions on different set of participants. The differences between the two conditions can be caused by the following: The manipulation/changes that were carried out on the participants Difference in nature or characteristics of participants in each case
##### Explain the role of randomization w.r.t variation?
By using randomization we can ensure that any variation introduced, is due to changes in the conditions/variables introduced rather than any other unexpected changes during the process. Thus, it helps in removing other sources of systematic variation.

##### Description
• Machine Learning Interview Questions can be used to give quizzes by any candidate who is preparing for Data Scientist Interview
• This Machine Learning Questions Answers section will help you test your analytical skills in a tricky method, thereby giving you an edge over other students
• All candidates who have to appear for the IT Officer  can also refer to this short questions answers section.
• You can also get access to the Machine Learning Interview ebook.
• Machine Learning Questions can be used in the preparation of B.Sc (IT) , M. Sc (IT), BCA, MCA and various other exams.