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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 高校生

公務員の勉強をしようと数的推理から入ったのですが集合の説明が難しくてわからなかったので誰か分かりやすく説明して欲しいです

重要度 ☆★☆★ 11. 集合と論理 を使えるようにしておくことです。 集合や論理に関する問題は、公務員試験では必須です。 本節の目標は、対ド モルガンの法則 三段論法など、 oo 本部の全体像 1. 集合の表し方 (1) ・ベン図・・・集合の全体像や包含関係を見る場合に適する ・交わりと結びの関係n (AUB)=n (A)+n(B)-n (A∩B) ・全体集合と補集合・・・n (U)=n(A)+m(A) 3集合の要素数(AUBUC)=n(A)+n(B)+n(C) -n (AMB)-n(BNC)-n(CNA) + n (ABC) AnB A ANKEYWORD 全体像 テキスト 演習問題 理解していますか! ベン図 交わりと結び 集合の包含関係 命題逆裏対 ドモルガンの法則 三段論法 命題の並列化 4. 集合の包含関係 AはすべてB. ASB Aの一部はBA∩Bが必ず存在 AはBでない・・・・・・ AB=p 5. 命題 ・命題・・・仮定と結論, 「P→Q」 n ・逆・対偶 ・・・・・・ 逆・裏は必ずしも真ならず、 対偶は原命題と真偽が一致 「P→Q」逆→ 「Q→P」 裏 <対偶 裏 「P」→「Q→P」 2 2. 集合の表し方(2) 3つの条件の可否による分類・・・・・・縦 横 四角枠の表 ・2つ以上の領域にまたがる数値・・・・・境界線上に数値を記入 6.ド・モルガンの法則 ・ド・モルガンの法則・・・ PAQPVQ, PVQ=PAQ 7. 三段論法 ・三段論法・・・「P→Q」 「Q→R」 のとき 「PR」 031 3. 集合の表し方(3) "少なくとも~” ••••••線分図を描く 持たないもの”が最大集合2つずつの交わりについて考える 8. 命題の並列化 IP→Q. •P→QAR PVQ→R P-R P-R. Q-R 判断推理

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