2018届上海市各高中学校高三英语试题分类汇编--阅读理解B篇(带答案精确校对)

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Section B

Directions:Read the following three passages. Each passage is followed by several questions or unfinished statements. For each of them there are four choices marked A, B, C and D. Choose the one that fits best according to the information given in the passage you have just read.

(B)

With the coming of big data age, data science is supposed to be starved for, of which the adaption can point a profound change in corporate competitiveness. Companies, both born-in the digital era and traditional world are showing off their skills in data science. Therefore, it seems to have been creating a great demand for the experts of this type.

Mr Carlos Guestrin, machine learning professor from University of Washington argues that all software applications will need inbuilt intelligence within five years, making data scientists—people trained to analyze large bodies of information — key workers in this emerging “cognitive” technology economy. There are already critical applicat ions that depend on machine learning, a subfield of data science, led by recommendation programs, fraud detection system, forecasting tools and applications for predicting customer behavior.

Many companies that are born digital—particularly internet companies that have a great number of real-time customer interactions to handle—are all-in when it comes to data science. Pinterest, for instance, maintains more than 100 machine learning models that could be applied to different classes of problems, and it constantly fields request from managers eager to use this resource to deal with their business problem.

The most important factor weighing on many traditional companies will be the high cost of launching a serious machine-learning operation. Netflix is estimated to spend $150m a year on a single application and the total bills is probably four times that once all its uses of the technology are taken into account.

Another problem for many non-technology companies is talent.Of the computer science experts who use Kaggle, only about 1000 have deep learning skills, compared to 100,000 who can apply other machine learning techniques, says Mr Goldbloom. He adds that even some big companies of this type are often reluctant to expend their pay scales to hire the top talent in this field.

A third barrier to adapting to the coming era of “smart” applications, however, is likely to be

cultural. Some companies, such as General Electric, have been building their own Silicon Valley presence to attract and develop the digital skills they will need.

Despite the obstacles, some many master this difficult transition.But companies that were built, from the beginning, with data science at their center, are likely to represent serious competition.

60. What cannot be inferred from the passage about the machine learning ?

A. Machine learning operations are costly in Netflix.

B. Machine learning plays an important role in existent applications.

C. Machine learning experts are not highly paid in some non-technology companies.

D. Machine learning models are not sufficient to solve business problems in Pinterest.

61. The underlined word in the 3rd paragraph “field s” mostly probably means______________.

A. avoids

B. creates

C. solves

D. classifies

62. Which one is the biggest obstacle for many traditional companies to begin a machine-learning operation ?

A. High cost

B. Expert crisis

C. Technological problem

D. Customer interactions

Keys: 60-62 D C A

Section B

Directions:Read the following three passages. Each passage is followed by several questions or unfinished statements. For each of them there are four choices marked A, B, C and D. Choose the one that fits best according to the information given in the passage you have just read.

(B)

Think the world loves your selfies as much as you do? Not exactly.

It’s become something of a ritual for many of us. When you’ve binge-watched everything on Netflix and you are tired of online shopping, you head to the bathroom to put on your very best makeup. Y our goal is clear; to get the perfect selfie for Facebook, Instagram, Snapchat…or, more likely, all of the above. After perfecting your eyeliner and curling your lashes, you’re ready. Y ou hold up your phone, pout those lips real tight, and in an instant, snap.

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