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TOEIC・英語 大学生・専門学校生・社会人

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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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数学 大学生・専門学校生・社会人

( 1) 絶対値xの範囲はどうやって決めたのですか? おそらくg (x)である分母の部分は絶対に0になってはいけないから0にならんように範囲を取っている。 でもその場合,なぜ開区間(0,π)だけでいいんですか?開区間(π,2π)でもg '(x)≠0【ロピタルの定理の【2】参... 続きを読む

13 ロピタルの定理 分析でてきたら⇒ロピタル 10563 ロピタルの定理 開いて、 0-(1-5) mil 基本 例題 057 不定形 (号)の極限① ★★☆ 以下の極限値を, ロピタルの定理を用いて求めよ。 mil (1−cosx)sinx -0 (1) lim ex-1-x sinhx-x x0 x−sinx (2) lim (3) lim x→0 x-0 sinx-x 指針 0 fin mil いずれも の不定形の極限である。 f'(x) gix). I g'ix) 0-(x-xdnie) mil (E) 定理 ロピタルの定理 αを含む開区間I上で定義された関数f(x), g(x) が微分可能で,次の条件を満たすとする。 [1] limf(x)=limg(x)=0 x→a x-a [2] xキαであるI上のすべての点xでg'(x) ≠0 '(x.doia) f'(x) [3] 極限 lim が存在する。 x-a g'(x) f(x) このとき, 極限 lim x-a g(x) x-a も存在し lim -=lim ig(x) x-a g'(x) f(x) f'(x) が成り立つ。 mil x0 0<|x| <πにおいて {(1-cos x)sinx}' lim lim ...... 【不定形の極限が現れる場合, f" (x), g" (x), f'(x), g" (x), が存在して定理の条件を満 たすならば,ロピタルの定理は繰り返し用いてよい。 詳しくは 「数研講座シリーズ 大学教養 微分積分」 の112~119ページを参照。 解答 (1) lim{(1-cosx)sinx}=0 かつ lim(x-sinx)=0 x→0 mil= nia- (x−sinx)=1-cosx+0 sinx+cosx−cos x drianil [1] の確認。 mil [2]の確認。 x→0 (x−sinx) x→0 1−cosx 0800- N Fox) cosx-cos 2x =lim ① 1−cosx x0 cos"x-sin'x=cos2x -zag() mil ここで ここでLim(cosx-cos2x)=0 かつ lim (1-cosx) = 0 [1]の確認。 x→0 x→0 もう一度 0<x<πにおいて (1−cosx)=sinx=0 [2] の確認。 ロピタルの 選ぼう! また lim a x0 (cosx-cos 2x)' (1-cos x)' 2sin2x−sinx =lim x→0 sinx [3] の確認。 =lim (4cosx-1)=3 x-0 よって,ロピタルの定理により, ①の極限値も存在して3 (1−cosx)sinx に等しいから lim x-sinx x-0 -=3 4sin2x=2sin x cosx (2) lim (ex-1-x)=0 かつ limx2=0 x→0 x-0 x=0において (x2)'=2x=0 [1]の確認。 [2] の確認。

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TOEIC・英語 大学生・専門学校生・社会人

英語の宿題です。アンサーお願いします🙏🏻

..2 ◆ B.E.21 POINT) ... 3 参 p.189 B.E.21 2* く. ...4 p. 190 (6) ? (read the book) makes me feel better. (play the guitar) 2 各組の文を意味の違いに注意して日本語で表しなさい . (1) (2) (@My mother doesn't like coming home late. ⑥ My mother doesn't like me coming home late. a Would you mind closing the door? ⑥ Would you mind me closing the door? 3各組の文がほぼ同じ意味を表すように()内に適語を入れなさい. I am sorry that I am late. am sorry for( ( am sorry that I told you a lie. I am sorry for( )( 2 232). ) you a lie.nt at he wa byp m) (199m01 >) captain of the team. (le) a mistake. Tom was proud that he was captain of the team. (1) ”ある. (2) 広いる. (3) いる. (4) The girl denied( ・・・5 9 .6 -7 3 Tom was proud ( The girl denied that she had made a mistake. (L)( 44 日本語に合うように( )内の語句を並べかえなさい. (斜体の動詞は適当な形に直すこと) (1) 寝る前に歯をみがきなさい. (before, your teeth, go, brush) (2) 私たちはプールで水泳を楽しんだ. (we, in, swim, enjoyed) (3) 弟は動物の絵を描くのがじょうずです. (draw, good, is, animals, at) My brother to bed. the pool. (1) (4) 私はロボットを作ることに興味をもっています. (make, in, interested, robots) I am ★ (5) 彼女はかんしゃくを起こしたことを恥じている. (lose, of, ashamed, her temper) way bludW blow S Goob She is 45

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