Home / Engineering / Machine Learning (ML) MCQs / Page 35
Machine Learning (ML) MCQs | Page - 35
Dear candidates you will find MCQ questions of Machine Learning (ML) here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.
M
Q. 341) In the last decade, many researchers started training bigger and bigger models, built with several different layers that's why this approach is called .
M
Q. 342) there's a growing interest in pattern recognition and associative memories whose structure and functioning are similar to what happens in the neocortex. Such an approach also allows simpler algorithms called
M
Q. 343) showed better performance than other approaches, even without a context- based model
M
Q. 344) Which of the following method is used to find the optimal features for cluster analysis
M
Q. 345) scikit-learn also provides functions for creating dummy datasets from scratch:
M
Q. 346) which can accept a NumPy RandomState generator or an integer seed.
M
Q. 347) In many classification problems, the target dataset is made up of categorical labels which cannot immediately be processed by any algorithm. An encoding is needed and scikit-learn offers at least valid options
M
Q. 348) In which of the following each categorical label is first turned into a positive integer and then transformed into a vector where only one feature is 1 while all the others are 0.
M
Q. 349) is the most drastic one and should be considered only when the dataset is quite large, the number of missing features is high, and any prediction could be risky.
M
Q. 350) It's possible to specify if the scaling process must include both mean and standard deviation using the parameters .
Explore Sets
Machine Learning (ML) MCQs Set 1
Machine Learning (ML) MCQs Set 2
Machine Learning (ML) MCQs Set 3
Machine Learning (ML) MCQs Set 4
Machine Learning (ML) MCQs Set 5
Machine Learning (ML) MCQs Set 6
Machine Learning (ML) MCQs Set 7
Machine Learning (ML) MCQs Set 8
Machine Learning (ML) MCQs Set 9
Machine Learning (ML) MCQs Set 10
Machine Learning (ML) MCQs Set 11
Machine Learning (ML) MCQs Set 12
Machine Learning (ML) MCQs Set 13
Machine Learning (ML) MCQs Set 14
Machine Learning (ML) MCQs Set 15
Machine Learning (ML) MCQs Set 16
Machine Learning (ML) MCQs Set 17
Machine Learning (ML) MCQs Set 18
Machine Learning (ML) MCQs Set 19
Machine Learning (ML) MCQs Set 20
Machine Learning (ML) MCQs Set 21
Machine Learning (ML) MCQs Set 22
Machine Learning (ML) MCQs Set 23
Machine Learning (ML) MCQs Set 24
Machine Learning (ML) MCQs Set 25
Machine Learning (ML) MCQs Set 26
Machine Learning (ML) MCQs Set 27
Machine Learning (ML) MCQs Set 28
Machine Learning (ML) MCQs Set 29
Machine Learning (ML) MCQs Set 30
Machine Learning (ML) MCQs Set 31
Machine Learning (ML) MCQs Set 32
Machine Learning (ML) MCQs Set 33
Machine Learning (ML) MCQs Set 34
Machine Learning (ML) MCQs Set 35
Machine Learning (ML) MCQs Set 36
Machine Learning (ML) MCQs Set 37
Machine Learning (ML) MCQs Set 38
Machine Learning (ML) MCQs Set 39
Machine Learning (ML) MCQs Set 40
Machine Learning (ML) MCQs Set 41
Machine Learning (ML) MCQs Set 42
Machine Learning (ML) MCQs Set 43
Machine Learning (ML) MCQs Set 44
Machine Learning (ML) MCQs Set 45
Machine Learning (ML) MCQs Set 46
Machine Learning (ML) MCQs Set 47
Machine Learning (ML) MCQs Set 48
Machine Learning (ML) MCQs Set 49
Machine Learning (ML) MCQs Set 50
Machine Learning (ML) MCQs Set 51
Machine Learning (ML) MCQs Set 52
Machine Learning (ML) MCQs Set 53
Machine Learning (ML) MCQs Set 54
Machine Learning (ML) MCQs Set 55
Machine Learning (ML) MCQs Set 56
Machine Learning (ML) MCQs Set 57
Machine Learning (ML) MCQs Set 58
Machine Learning (ML) MCQs Set 59
Machine Learning (ML) MCQs Set 60
Machine Learning (ML) MCQs Set 61
Machine Learning (ML) MCQs Set 62
Machine Learning (ML) MCQs Set 63
Machine Learning (ML) MCQs Set 64
Explore More Categories
Click on category to learn MCQs of that category.Electronics and Communication Engineering