この長文問題の答えと解説をお願いします。

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

なぜこの文から「read」が過去形だと判断できるのでしょうか。 答えは②です。

190 Susan read the book (oo) worsnim) (東洋 基本 ①as carefully as she can 頻出 2 as carefully as she could 3 as she can as carefullybo4 as she could as carefully ( et) aid se bo 28

どうしてイウエはこうなるのでしょうか？ 回答を見てもわかりません

a,b を実数の定数とする。f(x)=x+ax+bとし D = -4a3-2762 と定める。方程式 f(x)=0の解とDの関係について考えよう。 (1) f(x) の導関数 f(x) とすると 小 f'(x) = ア |x2+a 大 X 大 であるから,方程式f'(x)=0について dd 異なる二つの実数解をもつための必要十分条件は イ 重解を一つもつための必要十分条件はCargol010. ウ である。 実数解をもたないための必要十分条件はacO I (TS orgol+as as orgol イ ~ I の解答群(同じものを繰り返し選んでもよい。) a²-4600201 +20 a²-46=0 a²-4b<0 (3) a> o a = 0 ⑤ a<0 6 b>0 D TS716=0≠ 8 b<0

すみません、下の英文の訳が 父は微笑んだ。私が父の警告を嘲笑するのに慣れているのと同じように、最もありふれた危険についての父の警告にも慣れていた。 だったのですが、比較のas…asで訳したのですがそうするとこの訳になりません。 誰か解説してほしいです。 Dad sm... 続きを読む

合っているか教えて欲しいです

Question ( )に入る適切な語を選びましょう。 (5) I wish I (will have / have / had) a driver's license. (6) What would you buy if you ( are to / were to win the lottery? (7) I'm sorry I don't know his address. とほぼ同じ意味の文にしなさい。 I wish I (know/knew / had known ) his address. (8) (With / Without/ For ) his advice, we couldn't have won the game. Try it out 1 (→p.49) ()に入る語を選び, 英文を完成させましょう。 必要であれば,適切な形に変えましょう。 1. If you don't hurry, you will (iss 2. If I ( 西説法士 仮定法にしなさい。 ) your flight. haye ) you, I would (cha) to study abroad soon after graduation. (choose hay of eaten ) at better local restaurants. se) more interest in visiting foreign countries, he could be a better English were 3. If Kate had learned more about the area, she could ( 4. If Kei ( speaker. choose/have/eat / miss / be

中学の英語です。 当てはまるものが分かりません 教えてください(>人<;)

It is (warm / warmer / warmest) today than yesterday. Jane is the (tall/taller/ tallest) in her class. February is the (short/ shorter / shortest) month in a year. You look as (young/younger / youngest) as Mr. Suzuki. Which is (much/more/most) popular, soccer or baseball? Tom can't play the piano as (better/best/well) as Yuka.

これがわかりません。教えて下さい。 微分積分学です。

15:28 次のアおよびイと よびイとして適切なものを選択 肢から選べ 1変数関数f(x),g(x) は微分可能で,その導 関数f'(x), g'(x)は連続であるとする. ま た,2変数関数h (t,s) は偏微分可能で, Əh Əh (t, s), - (t,s) はともに連続であると as at する.このとき,合成関数z = f(h(t,s)) の tに関する偏導関数は である.また,合成関数 w= = h(f(x),g(x)) の導関数は である. 7:90X イ: 3 ㎝ x ●選択肢 əz at Əh f'(0) (t,s) at Oh at f'(h(t, s)). Oh at dw dx Oh Ət ア Oh ⑩ f'(h(t,s)) (t,s) as Oh at イ Əh dt (t, s) -(f(z),g(x))f*'(z) + ah ① f'(0) (t,s) as (f(x),g(x))(f'(x)+g'(x)) (3) Əh as as dh Ət Oh as (f(x), g(x))ƒ'(x) (f(z),g(x))(f'(z)+g'(r)) Əh as Oh (f(x),g(x))(f'(x)+g'(x)) + (f(x),g(x))(f'(x)+g'(x)) as all? (f(x), g(x))g'(x) ah (f(x),g(x))f'(0) + -(f(x),g(x))g' (0) (f(x), g(x))g'(x)

この問題がどうしても分かりません、、

import openpyxl df1.to_excel("/content/drive/My Drive/Colab Notebooks/data/payment.xlsx") df2.to_excel("/content/drive/My Drive/Colab Notebooks/data/kingaku.xlsx") Copy 4 12. 実習4では, globも読み込んで, dataディレクトリに入っているすべてのExcelファイルをglobで取り出します。 それらを 「data_list」 として宣言します。 そして data_listのExcelファイル群をfor文でひとつづつlistという空のリストに格納していきま す。 さらにlistのExcelを読んでconcat関数で結合したものをdf3とします。 それをto_excel メソッドでtotal というExcelに書き出 すときに、 引数のオプションでindex=Falseとしておけば、 最左列にインデックスを挿入しません。 import openpyxl import glob import pandas as pd data_list = glob.glob("/content/drive/MyDrive/Colab Notebooks/data/*.xlsx") list = [] for data in data_list: list.append(pd.read_excel(data)) df3.to_excel("/content/drive/MyDrive/Colab Notebooks/data/total.xlsx", index = "False") df3= pd.concat(list)

比較級の単元なのですが、四角1の(4)はなぜこのような和訳になるのですか？

160 Unit 17 THIRD STAGE Her second [Reading] 1 次の英文を日本語に直しなさい. □ (1) That boy is as bright* as a university student. あの男の子は大学生くらい頭がいいです。 □ (2) My brother received* more chocolates than me on Valentine's Day. Valentine's Day [ for 私の兄はバレンタインに私立多くのチョコレートを受 (3) My father looks much busier this week than last week. 父が先週末より今週末のほうが疲れてみえます Her second novel is not so famous as her first one 彼女の2冊目の小説は1冊目より有名ではないです。 (5) Because of your efforts*, we were able to get better results* this y あなたの努力のおかげで、私達は良い結果を見ることがで (6) My test score* was ten points* lower than yours. 私のテストの点数はあなたのよりも10. 低かったです。 7) The population* of this country is much larger than that of Japan. その国の人口は日本よりも大きいです。 2 次の各文の [ ]内の語句を並べかえて全文を書きなさい. また, その文を日本語 (1) Your essay on Japanese culture than / better /is/mine / much ]. Your essay on Japanese culture is much better (日本語) あなたの作文は私のよりもとても良いです。 日本の文化についての (2) I can't understand your English. Can [more/ speak / a little / sl can't undactoureel T bl

一次独立か一次従属か判定する問題です！ (3)は3次元のベクトルが4つ以上だと必ず一次従属とネットで見たのですが、そうなのですか？ あと（４）のような4次元のベクトル3個の時も一次従属になるのですか？

問 題 5.5 次の各組のベクトルについて, 1次独立か1次従属か調べよ。 1次従属の にはその関係式を表せ. (1) a1= (2) a1=3 (3) a 78 -2 a2 = 20 3 -2 - () -- (-). -- (-:-) 5 = (-³). ( a3= -0-0-0-0 = 9 a2= 第5章 数ベクトル空間 a4 = 2 k₁α ラー 例5 った う. 例 →