Fizz Buzz C的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到下列評價、門市、特惠價和推薦等優惠

Fizz Buzz C的問題,我們搜遍了碩博士論文和台灣出版的書籍,推薦(美)喬爾•格魯斯寫的 數據科學入門(第2版) 和Margaret Atwood的 Hag-Seed: The Tempest Retold都 可以從中找到所需的評價。

這兩本書分別來自人民郵電 和所出版 。

接下來讓我們看這些論文和書籍都說些什麼吧:

除了Fizz Buzz C,大家也想知道這些:

數據科學入門(第2版)

為了解決Fizz Buzz C的問題,作者(美)喬爾•格魯斯 這樣論述:

本書基於Python語言環境,從零開始講解資料科學工作,講述資料科學工作所需的技能與訣竅,並帶領讀者熟悉資料科學的核心知識:數學與統計學。作者借助大量具有現實意義的實例詳細展示了什麼是資料科學,介紹了從事資料科學工作需要用到的庫,如NumPy、scikit-learn、pandas等,還在每章末尾推薦了很多學習資源,幫助你進一步鞏固本書所學。新版基於Python 3.6,重寫了所有示例和代碼,並根據資料科學近幾年的發展,新增了關於深度學習、統計學和自然語言處理等主題,讓圖書內容與時俱進。 喬爾·格魯斯(Joel Grus) Capital Group公司的首席機器學習工程師

,擔任過艾倫研究所的人工智慧研發工程師以及谷歌公司的軟體工程師,還曾在多家創業公司擔任資料科學家。 譯者簡介 嶽冰 美國西北大學數學碩士,知乎專欄“X-Lab”編輯,參與編撰了《知識圖譜標準化白皮書(2019版)》。深耕圖神經網路、推薦演算法、複雜關係網絡風險挖掘、機器學習等領域。運用人工智慧演算法與工具,長期支援有關部門用高精尖技術手段打擊違法犯罪。 高蓉 講師,任教於杭州電子科技大學經濟學院金融系。博士和碩士畢業于南開大學經濟學院金融系,本科畢業于南開大學數學學院計算數學專業。研究領域包括資料科學應用、資產定價、金融工程、計量經濟應用等。 韓波 自由譯者、撰稿人,從事資訊技術工作二

十餘年,主要興趣領域為機器學習、Python等。曾為多家資訊技術媒體撰稿,另譯有《Python資料分析》。 第 2版前言 xiii 第1版前言 xvii 第1章 導論 1 1.1 數據的崛起 1 1.2 什麼是資料科學 1 1.3 激勵假設:Data Sciencester 2 1.3.1 尋找關鍵連絡人 3 1.3.2 你可能知道的資料科學家 5 1.3.3 工資和工作年限 8 1.3.4 付費帳戶 10 1.3.5 感興趣的主題 10 1.3.6 展望 12 第2章 Python速成 13 2.1 Python之禪 13 2.2 獲取Python 14 2.3 虛擬環

境 14 2.4 空白格式 15 2.5 模組 16 2.6 函數 17 2.7 字串 18 2.8 異常 19 2.9 列表 19 2.10 元組 21 2.11 字典 22 2.12 計數器 24 2.13 集 24 2.14 控制流 25 2.15 真和假 26 2.16 排序 27 2.17 列表解析 27 2.18 自動化測試和斷言 28 2.19 物件導向程式設計 29 2.20 反覆運算器和生成器 31 2.21 隨機性 ..32 2.22 規則運算式 33 2.23 函數式程式設計 34 2.24 壓縮和參數拆分 34 2.25 args和kwargs 35 2.26 類型注釋

 36 2.27 歡迎來到DataSciencester 39 2.28 進一步探索 39 第3章 數據視覺化 40 3.1 matplotlib 40 3.2 橫條圖 42 3.3 線圖 45 3.4 散點圖 46 3.5 延伸學習 48 第4章 線性代數 49 4.1 向量 49 4.2 矩陣 53 4.3 延伸學習 56 第5章 統計學 57 5.1 描述單個資料集 57 5.1.1 中心傾向 59 5.1.2 離散度 61 5.2 相關 62 5.3 辛普森悖論 64 5.4 相關係數的其他注意事項 65 5.5 相關與因果 66 5.6 延伸學習 66 第6章 概率 68 6

.1 依賴和獨立 68 6.2 條件概率 69 6.3 貝葉斯定理 71 6.4 隨機變數 72 6.5 連續分佈 72 6.6 正態分佈 73 6.7 中心極限定理 76 6.8 延伸學習 78 第7章 假設和推論 79 7.1 統計假設檢驗 79 7.2 實例:擲硬幣 79 7.3 p值 82 7.4 置信區間 84 7.5 p-Hacking 84 7.6 實例:運行A/B 測試 85 7.7 貝葉斯推斷 86 7.8 延伸學習 89 第8章 梯度下降 90 8.1 梯度下降的思想 90 8.2 估算梯度 91 8.3 使用梯度 94 8.4 選擇正確步長 94 8.5 使用梯度下降

擬合模型 95 8.6 小批次梯度下降和隨機梯度下降 96 8.7 延伸學習 98 第9章 獲取資料 99 9.1 stdin和stdout 99 9.2 讀取文件 101 9.2.1 文字檔的基礎 101 9.2.2 限制的檔 102 9.3 網路抓取 104 9.4 使用API 106 9.4.1 JSON和XML 106 9.4.2 使用無驗證的API 107 9.4.3 尋找API 108 9.5 實例:使用Twitter API 109 9.6 延伸學習 112 第10章 資料工作 113 10.1 探索資料 113 10.1.1 探索一維資料 113 10.1.2 兩個維度 1

15 10.1.3 多維數據 116 10.2 使用NamedTuple 18 10.3 數據類 119 10.4 清洗和修改 120 10.5 資料處理 122 10.6 資料調整 25 10.7 題外話:tqdm 126 10.8 降維 127 10.9 延伸學習 133 第11章 機器學習 134 11.1 建模 134 11.2 什麼是機器學習 135 11.3 過擬合與欠擬合 135 11.4 正確性 138 11.5 偏差–方差權衡 140 11.6 特徵提取與選擇 141 11.7 延伸學習 142 第12章 k最近鄰法 143 12.1 模型 143 12.2 實例:鳶尾花

資料集 145 12.3 維數災難 148 12.4 進一步探索 152 第13章 樸素貝葉斯演算法 153 13.1 一個簡易的垃圾郵件篩檢程式 153 13.2 一個複雜的垃圾郵件篩檢程式 154 13.3 演算法實現 155 13.4 測試模型 157 13.5 使用模型 158 13.6 延伸學習 161 第14章 簡單線性回歸 162 14.1 模型 162 14.2 使用梯度下降法 165 14.3 最大似然估計 166 14.4 延伸學習 166 第15章 多元回歸 167 15.1 模型 167 15.2 最小二乘模型的進一步假設 168 15.3 擬合模型 169 15

.4 解釋模型 171 15.5 擬合優度 171 15.6 題外話:Bootstrap 172 15.7 回歸係數的標準誤差 173 15.8 正則化 175 15.9 延伸學習 177 第16章 邏輯回歸 178 16.1 問題 178 16.2 logistic函數 180 16.3 應用模型 183 16.4 擬合優度 184 16.5 支持向量機 185 16.6 延伸學習 188 第17章 決策樹 89 17.1 什麼是決策樹 189 17.2 熵 191 17.3 分割的熵 193 17.4 創建決策樹 194 17.5 綜合運用 196 17.6 隨機森林 199 17.7

 延伸學習 199 第18章 神經網路 200 18.1 感知器 200 18.2 前饋神經網路 202 18.3 反向傳播 205 18.4 實例:Fizz Buzz 207 18.5 延伸學習 210 第19章 深度學習 211 19.1 張量 211 19.2 層抽象 213 19.3 線性層 215 19.4 把神經網路作為層序列 218 19.5 損失函數與優化器 219 19.6 實例:重新設計異或網路 221 19.7 其他啟動函數 222 19.8 實例:重新解決Fizz Buzz問題 223 19.9 softmax函數和交叉熵 224 19.10 丟棄 227 19.1

1 實例:MNIST 227 19.12 保存和載入模型 231 19.13 延伸學習 232 第20章 聚類分析 233 20.1 原理 233 20.2 模型 234 20.3 實例:聚會 236 20.4 選擇聚類數目k 238 20.5 實例:色彩聚類 239 20.6 自下而上的分層聚類 241 20.7 延伸學習 246 第21章 自然語言處理 247 21.1 詞雲 247 21.2 n-gram 語言模型 249 21.3 語法 252 21.4 題外話:吉布斯採樣 254 21.5 主題建模 255 21.6 詞向量 260 21.7 遞迴神經網路 268 21.8 實例

:使用字元級RNN 271 21.9 延伸學習 274 第22章 網路分析 275 22.1 仲介中心性 275 22.2 特徵向量中心性 280 22.2.1 矩陣乘法 280 22.2.2 中心性 282 22.3 有向圖與PageRank 283 22.4 延伸學習 286 第23章 推薦系統 287 23.1 人工管理 288 23.2 推薦流行事務 288 23.3 基於用戶的協同過濾 289 23.4 基於項目的協同過濾 292 23.5 矩陣分解 294 23.6 延伸學習 298 第24章 資料庫與SQL 299 24.1 CREATE TABLE與INSERT 299

24.2 UPDATE 302 24.3 DELETE 303 24.4 SELECT 304 24.5 GROUP BY 306 24.6 ORDER BY 308 24.7 JOIN 309 24.8 子查詢 311 24.9 索引 312 24.10 查詢優化 312 24.11 NoSQL 313 24.12 延伸學習 313 第25章 MapReduce 314 25.1 實例:單詞計數 315 25.2 為什麼是MapReduce 316 25.3 更一般化的MapReduce 317 25.4 實例:狀態分析更新 318 25.5 實例:矩陣乘法 320 25.6 題外話:組合

器 321 25.7 延伸學習 322 第26章 數據倫理 323 26.1 什麼是數據倫理 323 26.2 講真的,什麼是數據倫理 324 26.3 是否應該關注資料倫理 324 26.4 建立不良資料產品 325 26.5 精確與公平之間的較量 325 26.6 合作 327 26.7 可解釋性 327 26.8 推薦 327 26.9 異常數據 328 26.10 資料保護 329 26.11 小結 329 26.12 延伸學習 329 第27章 資料科學前瞻 330 27.1 IPython 330 27.2 數學 331 27.3 不從零開始 331 27.3.1 NumPy 

331 27.3.2 pandas 331 27.3.3 scikit-learn 331 27.3.4 視覺化 332 27.3.5 R 332 27.3.6 深度學習 332 27.4 尋找資料 333 27.5 從事資料科學工作 333 27.5.1 Hacker News 333 27.5.2 消防車 333 27.5.3 T恤 334 27.5.4 地球儀上的推文 334 27.5.5 你的發現 335 關於作者 336 關於封面 336

Hag-Seed: The Tempest Retold

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為了解決Fizz Buzz C的問題,作者Margaret Atwood 這樣論述:

  「我使盡渾身解數來挑戰這個故事,太過癮了!」─瑪格麗特.愛特伍   全球讀者齊聲尖叫的小說計畫   「挑戰莎士比亞」系列最新作品,讓經典從此零距離!   文學女王瑪格麗特.愛特伍直闖《暴風雨》   驚心動魄的復仇大戲 X舞台魔法,在書頁掀起滔天巨浪!   「親愛的觀眾,請以你的魔法為這齣戲寫下結局吧!   唯有如此,我禁錮的靈魂才能自由。」   痛失愛女的導演費利斯,將全副心力投注於一場空前絕後的莎劇《暴風雨》,想藉由女主角的演出讓女兒在舞台上重生。不料人生的劇本出了岔,他在表演前夕遭人陷害,流亡十年後改名換姓,進入監獄參與犯人矯治計畫,在悔罪之地教起莎士比亞。   費利斯的世紀

仇家早已攀上權謀高位,而他以跌破眼鏡的手法指導犯人演出莎劇,同時設下復仇的天羅地網。眼看計畫一步步成真,他耳畔卻傳來愛女神祕的呼喚……她究竟在提醒著什麼?而他還能不能重施舞台魔法,上演一場翻天覆地、腥風血雨的好戲?   加拿大國寶級作家瑪格麗特.愛特伍傾盡畢生功力,讓《暴風雨》中鑽研魔法的公爵化身現代藝術總監,以平易近人的方式教獄友學莎劇。這場戲中戲不僅是精采絕倫的生猛復仇劇,也是最幽默生動的文學教室。暫時拋開莎翁原著,來上一堂勁爆導演的戲劇課吧!   (中文簡介來自寂寞出版《挑戰莎士比亞2:血巫孽種》書介)   William Shakespeare's The Tempest ret

old as Hag-Seed     Felix is at the top of his game as Artistic Director of the Makeshiweg Theatre Festival. His productions have amazed and confounded. Now he's staging a Tempest like no other: not only will it boost his reputation, it will heal emotional wounds.     Or that was the plan. Instead,

after an act of unforeseen treachery, Felix is living in exile in a backwoods hovel, haunted by memories of his beloved lost daughter, Miranda. And also brewing revenge.     After twelve years, revenge finally arrives in the shape of a theatre course at a nearby prison. Here, Felix and his inmate ac

tors will put on his Tempest and snare the traitors who destroyed him. It's magic! But will it remake Felix as his enemies fall?     Margaret Atwood’s novel take on Shakespeare’s play of enchantment, retribution, and second chances leads us on an interactive, illusion-ridden journey filled with new

surprises and wonders of its own. Review   "A marvel of gorgeous yet economical prose, in the service of a story that's utterly heartbreaking yet pierced by humor, with a plot that retains considerable subtlety even as the original's back story falls neatly into place."—New York Times Book Review

  “What makes the book thrilling, and hugely pleasurable, is how closely Atwood hews to Shakespeare even as she casts her own potent charms, rap-composition included… Part Shakespeare, part Atwood, “Hag-Seed” is a most delicate monster — and that’s “delicate” in the 17th-century sense. It’s delight

ful.”—The Boston Globe   “Atwood has designed an ingenious doubling of the plot of “The Tempest”: Felix, the usurped director, finds himself cast by circumstances as a real-life version of Prospero, the usurped Duke. If you know the play well, these echoes grow stronger when Felix decides to exact

his revenge by conjuring up a new version of “The Tempest” designed to overwhelm his enemies.”—The Washington Post     “A funny and heartwarming tale of revenge and redemption, this latest release in the Hogarth Shakespeare project, whose aim it is to retell Shakespeare's most beloved works through

the works of bestselling authors like Anne Tyler and Gillian Flynn, Hag-Seed is a remarkable contribution to the canon.”—Bustle   “Atwood’s canny remix offers multiple pleasures…[marvel] at the ways she changes, updates, and parallels the play’s magic, grief, vengeance, and showmanship.” –Publisher

s Weekly, starred review     “…Inventive, heartfelt, and swiftly rendered.” –Library Journal, starred review   "Atwood brilliantly pulls off the caper in a short novel that should be assigned to high school students as a hilarious riff on one of Shakespeare's more mystifying plays. It's much more t

han a retelling; it's an ingenious analysis and critique rolled into one."—St. Louis Post-Dispatch   "Margaret Atwood's modern retelling is an entertaining romp of revenge, redemption."—Minneapolis Star-Tribune   "A triumph [...] The book illuminates the breadth and depth of the whole play. The tr

oupe's workshops on it fizz with perception as Atwood transmits the pleasurable buzz of exploring a literary masterpiece. There won't be a more glowing tribute to Shakespeare in his 400th anniversary year."–Peter Kemp, Sunday Times   "The novel shines a thrilling new light on The Tempest's themes o

f revenge and forgiveness [...] as well as making a strong case for art's ability to "set you free" by helping you understand yourself."–Helen Brown, Sunday Telegraph   "Surpassingly brilliant [...] without question the cleverest "neo-Shakespearean novel" I have ever read [...] the learning and the

critical analysis are worn exceptionally lightly, always subordinated to wit, invention, characterisation and slick twists of plot [...] wonderfully ingenious."–Jonathan Bate, The Times   “…you don't need to be a Shakespeare geek like me to enjoy Hag-Seed; it's a good story, and will introduce you

to the play gently, with Felix himself as your guide.”–NPR Books   “Hag-Seed is a treat. It’s a beautifully constructed adaptation, one that stands on its own but is even richer when read against its source — and can, in turn, enrich its source material. It’s playful and thoughtful, and it singleh

andedly makes a good argument for the value of adapting Shakespeare.”–Vox   “Atwood has tremendous fun with Hag-Seed. Those who know the play will especially enjoy her artful treatment of its more poignant storylines. But even someone unfamiliar with Shakespeare will be entertained by this compelli

ng tale of enchantment and second chances, and the rough magic it so delightfully embodies.”-Bookpage   “Readers looking for Atwood’s wit and mastery of language will find it at work here… Atwood more than does justice to the Bard.”-Chicago Review of Books   “One needn’t be a Shakespeare fan in or

der to love this retelling of The Tempest…This book is funny and wonderful. Highly recommended for Shakespeare lovers and those seeking revenge.”-Seattle Book Review About the Author   MARGARET ATWOOD, whose work has been published in thirty-five countries, is the author of more than forty books

of fiction, poetry, and critical essays. In addition to The Handmaid's Tale, her novels include Cat's Eye, short-listed for the 1989 Booker Prize; Alias Grace, which won the Giller Prize in Canada and the Premio Mondello in Italy; The Blind Assassin, winner of the 2000 Booker Prize; Oryx and Crake,

short-listed for the 2003 Man Booker Prize; The Year of the Flood; and her most recent, MaddAddam.She is the recipient of the Los Angeles Times Innovator's Award, and lives in Toronto with the writer Graeme Gibson.