Home › Forums › Assignment NPTEL_ › Introduction to Machine learning › Introduction to Machine Learning (IITM) Week 1 Assignment
 This topic has 0 replies, 1 voice, and was last updated 1 year, 5 months ago by Abhishek Tyagi.

AuthorPosts


May 26, 2020 at 7:35 pm #540Abhishek TyagiKeymaster
1) Which of the following is a supervised learning problem?
Answer
Predicting the outcome of a cricket match as a win or loss based on historical data.Recommending a movie to an existing user on a website like IMdB based on the search history (including other users)
Predicting the gender of a person from his/her image. You are given the data of 1 Million images along with the gender
Given the class labels of old news articles, predicting the class of a new news article from its content. Class of a news article can be such as sports, politics, technology, etc2) Which of the following are classification problems?
Answer Predicting if a cricket player is a batsman or bowler given his playing records.
Predicting if a particular route between two points has traffic jam or not based on the travel time of vehicles.3) Which of the following is a regression task?</div>
Answer Predicting the monthly sales of a cloth store in rupees.
Predicting the confirmation probability (in fraction) of your train ticket whose current status is waiting list based on historical data.4) Which of the following is an unsupervised task?
Answer Grouping images of footwear and caps separately for a given set of images5) Which of the following is a categorical feature?
Answer – Branch of an engineering student6) Let X and Y be a uniformly distributed random variable over the interval [0,4] and [0,3] respectively. If X and Y are independent events, then compute the probability, P(max(x, y)>2)?
Answer 2/37) Let the trace and determinant of a matrix
a , b
c , d be 4 and 3 respectively. The eigenvalues of are
Answer (1,3)8) What would be the ideal complexity of the curve which can be used for polynomial curve fitting for the data shown below. (yaxis denotes the dependent variable)
Answer Cubic
9) Which of the following are true about bias and variance of overfitted and under fitted models?
Answer Underfitted models have high bias
Overfitted models have high variance
10) What happens when your model complexity increases?
Answer Model Bias decreases,
The variance of the model increases.
 This topic was modified 1 year, 5 months ago by Abhishek Tyagi.
 This topic was modified 1 year, 5 months ago by Abhishek Tyagi.
 This topic was modified 1 year, 5 months ago by Abhishek Tyagi.


AuthorPosts
 You must be logged in to reply to this topic.