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TOEIC・English Undergraduate

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15 語数: 398 語 出題校 法政大 5 We are already aware that our every move online is tracked and analyzed. But you 2-53 couldn't have known how much Facebook can learn about you from the smallest of social interactions - a 'like'*. (1) Researchers from the University of Cambridge designed (2) a simple machine-learning 2-54 system to predict Facebook users' personal information based solely on which pages they had liked. E "We were completely surprised by the accuracy of the predictions," says Michael 2-55 Kosinski, lead researcher of the project. Kosinski and colleagues built the system by scanning likes for a sample of 58,000 volunteers, and matching them up with other 10 profile details such as age, gender, and relationship status. They also matched up those likes with the results of personality and intelligence tests the volunteers had taken. The team then used their model to make predictions about other volunteers, based solely on their likes. The system can distinguish between the profiles of black and white Facebook users, 15 getting it right 95 percent of the time. It was also 90 percent accurate in separating males and females, Democrats and Republicans. Personality traits like openness and intelligence were also estimated based on likes, and were as accurate in some areas as a standard personality test designed for the task. Mixing what a user likes with many kinds of other data from their real-life activities could improve these predictions even more. 20 Voting records, utility bills and marriage records are already being added to Facebook's database, where they are easier to analyze. Facebook recently partnered with offline data companies, which all collect this kind of information. This move will allow even deeper insights into the behavior of the web users. 25 30 (3) - Sarah Downey, a lawyer and analyst with a privacy technology company, foresees insurers using the information gained by Facebook to help them identify risky customers, and perhaps charge them with higher fees. But there are potential benefits for users, too. Kosinski suggests that Facebook could end up as an online locker for your personal information, releasing your profiles at your command to help you with career planning. Downey says the research is the first solid example of the kinds of insights that can be made through Facebook. "This study is a great example of how the little things you do online show so much about you,” she says. "You might not remember liking things, " but Facebook remembers and (4) it all adds up.", * a 'like': フェイスブック上で個人の好みを表示する機能。 日本語版のフェイスブックでは「いいね!」 と表記される。 2-56 2-57 2-58 36

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Mathematics Senior High

(2)の1行目から2行目の変形はどうやってしますか?

2章 微分法 ★☆☆☆ 例題 62 微分係数と極限値 公開 関数 f(x) が x = α において微分可能であるとき、次の極限値をa, f(a), ★★☆☆ f (a) を用いて表せ。 f(a+2h)-f(a-h) (1) lim (2) lim {af(x)}_{xf (a)}2 x-x-a noirs ( 7617 思考プロセス 定義に戻る 微分係数の定義 f(a+□)-f(a) f' (a) = lim- ・・・① または f'(α)= =lim f()-f(a) ロー ... 2 0 ☐ (1) ① の形に似ている。 f(a+)-f(a) の形をつくって調整 f(a+2h)-1 + -fla-h) (与式)=lim →0 [f(a+2h)- lim 0 h 2hにしたい +h)-1 →2af (a) (2)②の形に似ている。 分子は ( {af(x)+xf (a)}{af(x)-xf (a)} x-a 0 lim (af (x)+xf (a)). af (x)-xf (a) ②の利用を考える x-a Action» 関数 f(x) を含む極限値は、微分係数の定義を利用せよ (x)\ll (与式)=lim x+a )を掛け 圖 (1)(与式) = lim h まずし ff(a+2h)-f(a) ・2+ e)+1 = 2h -h | f ( a − h) = f (a) } | f(a+2h)-f(a)+f(a)-f(a-h) (0)\ h +01 fla-h)- ームにしたい したい h A )2- ( 2の形。 0 あるが = {af(x) x-aL (a)] = f'(a) 2+ f'(a) =3f'(a) 化 (2)与式)=lim x-a 前項は分母を2hにして から2を掛けて調整し、 後項は分母をんにして 符号を調整する。 h0のとき {af(x)+xf (a)}{af(x)-xf(a)}(0) 2h0,-h0 = lim {af(x) + xf (a)}・ x+a であることに注意する。 x-a {af(x)-xf(a)} 分子を因数分解する。 x-a 不定形になる部分を f(x)-f(a) = lim {af(x) + xf (a)} x-a × af (x) - af (a) + af(a)-xf (a)] f(a)}] 0 分けて考える。 f'(a) = lim x-a 形をつくるために “-af (a) + af (a)” を追加 して考える。 x-a = lim (af (x) + xf(a)){a. f(x) = f(a) =2af (a){af (a)-f(a)} x-a 62 関数 f(x) が x = a, d' において微分可能であるとき,次の極限値を α, f'(a), f(a), f' (a) を用いて表せ。 (1) lim f(a+3h)-f(a+2h) h tol x²f(a²)-a² f(x²) (2) lim x-a x-a 125 p.138 問題62

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