We Discuss About That NPTEL Introduction to Machine Learning Assignment 1 Answer
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NPTEL Introduction to Machine Learning Assignment
With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.
Next Week Assignment Answers
This course can have Associate in Nursing unproctored programming communication conjointly excluding the Proctored communication, please check announcement section for date and time. The programming communication can have a weightage of twenty fifth towards the ultimate score.
- Assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
- ( All assignments in a particular week will be counted towards final scoring – quizzes and programming assignments).Â
- Unproctored programming exam score = 25% of the average scores obtained as part of Unproctored programming exam – out of 100
- Proctored Exam score =50% of the proctored certification exam score out of 100
UNPROCTORED PROGRAMMING EXAM SCORE >=10/25 AND PROCTORED EXAM SCORE >= 20/50.Â
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BELOW YOU CAN GET YOUR NPTEL Introduction to Machine Learning Assignment 1 Answer 2022? :
1. Which of the following are supervised learning problems? (multiple may be correct)
a. Learning to drive using a reward signal.
b. Predicting disease from blood sample.
c. Grouping students in the same class based on similar features.
d. Face recognition to unlock your phone.
Answer:- b,d
2. Which of the following are classification problems? (multiple may be correct)
a. Predict the runs a cricketer will score in a particular match.
b. Predict which team will win a tournament.
c. Predict whether it will rain today.
d. Predict your mood tomorrow.
Answer:- b.c
3. Which of the following is a regression task? (multiple options may be correct)
a. Predict the price of a house 10 years after it is constructed.
b. Predict if a house will be standing 50 years after it is constructed.
c. Predict the weight of food wasted in a restaurant during next month.
d. Predict the sales of a new Apple product.
Answer:-a,c,d
4. Which of the following is an unsupervised learning task? (multiple options may be correct)
a. Group audio files based on language of the speakers.
b. Group applicants to a university based on their nationality.
c. Predict a student’s performance in the final exams.
d. Predict the trajectory of a meteorite.
Answer:-a,b
5. Given below is your dataset. You are using KNN regression with K=3. What is the prediction for a new input value (3, 2)?
Answer:- 2.50
6. Which of the following is a reinforcement learning task? (multiple options may be correct)
Answer:-a,b,c
7. Find the mean of squared error for the given predictions:
Answer:-a
8. Find the mean of 0-1 loss for the given predictions:
Answer:-d
9. Bias and variance are given by:
Answer:-b
10. Which of the following are true about bias and variance? (multiple options may be correct)
Answer:-b,d Yhaa You have done it but next? if YOU Want to your Others NPTEL Introduction to Machine Learning Assignment 2 Answer Then Follow US HERE and Join Telegram.