who among the following is not a computer scientist?

which of these may be a title given to the compute,: scientist, James Gosling?

Which of the following has a storage capacity of about 700 MB?

The set A = {1,2,3,4} and R is the relation defined by ( x, y) ∈ R if 3x=2y < 11. Which of the following statement is true for R?

what is the number of edges present in a complete graph having n vertices?

Which of the following Which of the following propositional formula is a tautology?

Questions 7-10 are based on the text below which is taken Som the now famous review article on Deep Learning by Yann LeCun, Yoshua Bengio and Geoffrey Hinton in Nature (28 May 2015). Read it carefully and answer them. Conventional Machine-learning techniques \r€le limited in their ability to places natural data In their raw form- For decades, constricting a pattern-recognition or. machine -learning system required careful engineering aDd considerable domain e\pertise to design fl feature extractor that transformed the law data (such as the pl\el values of an image) into a suitable internal representation or failure vectol.holn which the learning subsystem. often a classifiel. could detect or classit' patterns in the input. ,
Representation learning is a s€t, of methods that allor^,s a nacline to be fed v,ith raw data and to automatically discovers the representations needed for detection or classification. Deepleaning method's are representation learning methods with multiple levels ol representation. obtained b"v composing simple but non-linear modules that each transform the representation at one level (starting with the raw input) jDto a repres€station at a, higler, slightly more abstract level. with the composition of enough such transformations very complex functions can be learned for classification tasks, higher layers of representation amplify aspect of the input that are important for discrimination and suppress irrelevant variations. AN image, for e(ample, coDes in the form of an array of pixel values, and the learned features in the first layer of representation typically represent the presence or absence of edges at particular orientations and locations in the image. The second layer typically detects jtrotifs by spotting p{particular arrangements of edges, regardless of small variations in the edge positions. The third lal.er may assemble motifs ion larger combinations that correspond to pans of familiar objects, and subsequent layers would detect objects as combination of these typically represent the presence or absence of edges a! partic lar orientations and locations in the inage. Thc secodd layer typically detects jtrotifs by spotting p{reticular arrangements of edgei, regardless of small variation in the edge positions. The third lal.er may assemble notiG irlo larger combinations' that corr€€pond to pans of familiar objects, and subsequent l&Je6 \r,ould detect objects as conrbjDatiorF of these pafls. The ke). aspect of deep learning€i is that these lal€rs of features are Dot designed by Harman engineers: they are learned froD data usinA a general-pltfpc^se learNing procedure,arts. The ke). aspect of deep learnings€i is that these lal€rs of features are Dot designed by Harman engineers: they are learned froD data usinA a general-pltfpc^se learNing procedure, The component's needed to construct a machine learning are:

What is the function of higher layers of representation in classification tasks?

What is the key aspect of deep learning?

This is stated as one of the disadvantages of conventional machine learning

The Android operating system on Mobile phones is based on

Pick the odd one out.

What is the value of c, if 8 is 4% of a and 4 is 8% of b and c equals b/a.

Police P runs at an average speed of 6Kmph on a highway road to catch thief T who is ahead of her by 8 meters. She is able to catch the thief after running for 100 meters despite a starting delay of 8 sec. What is the average speed of the thief T?

suppose a number less than 1000 is picked randomly. What is the probability that it is a prime number?

Questions 16-18 are based on the Flow-Chart given below. Trace it carefully and answer them,

What is the output array for N-8 and the input array A = [2, 1, 4, 3, 6, 5, 8, 7]?

What is the output array for N-8 and the input array A= [10, 32, 55, 77, 24, 46, 69, 81]?