Multidimensional Data Visualization

最新雅思寫作版本 ──納入《劍16》和《劍17》延伸考點和各種暢銷書論點提升考生口說和寫作應試穩定度至少減少2-3次考試次數口說和寫作亦迅速邁向9.0高分––––––––––––––––與《劍16》和《劍17》最新的出題完全一致，並規劃延伸學習，提升整合答題能力減少因為某次口說或寫作單項低於7分，而必須重新應考的困擾大幅提升應考的穩定度，每個寫作主題均能強化答題的靈活度並拓展思路。例如：延伸話題﹕《劍17》TEST 2Unit 3 在鎂光燈背後，運動員確實付出許多不為人知的努力。他們都受到良好的訓練，而如果扣除掉天賦這點，有哪些因素是讓他們勝出的關鍵呢? 除了能運用在，天賦、個人努力和運動類等的寫作話題上，亦能用在口說part 2和part 3，以及寫作大作文的風險類等話題上，一次就考取口說和寫作7以上高分。暢銷書論點迅速「扭轉劣勢」並讓你馬上處於優勢在辯論、口說和寫作都成為頂級高手 你是否因為辯論課或雅思寫作/新托福寫作遇到﹕經驗老練的專業人士總是表現得比較年輕的專業人士更好嗎？或傳統醫療vs替代醫療的話題，但卻因為一些侷限，而認為要講述年輕醫生比具有年資的醫生更為優秀太困難了，一開始就抽到處於劣勢的題目，或是傳統醫療根本完勝替代醫療，到底該如何下筆呢，又或是在口說part3遇到相關話題，但卻突然不知道該回什麼（但是你口說part 1和2都答得很好） 書中的暢銷書例如﹕Creative Visualization和Peak, Secrets from the New Science of Expertise都能迅速扭轉你的劣勢。（還有另一個重點是，在學校報告或寫作上，大家都寫容易寫的，就算寫得再好，跟寫難發揮的寫得好，後者更能讓老師青睞。）更加的首段切入句和9分寫作佳句更驚人的事實是，那些經驗老道的閱卷者和教授光看你寫的前幾句，就知道你有幾兩重了 Some people make a craft of braiding the storylines so that advertised products can be convincing to customers, while others use the skills so clumsy that get repeated rejections from the customers. New bran

內容簡介:創造更好的體驗和商業成功架構「對於有興趣了解AI並開啟其優勢的企業領導層和管理者來說，這是一本必讀之書。Alex Castrounis簡化了複雜的主題，以便任何人都可以開始在其組織內運用AI。」―Dan Park Uber總經理兼執行長「Alex Castrounis一直站在幫助組織理解AI前景並利用其優勢的最前沿，同時避免了許多可能破壞成功的陷阱。在這本必讀的書中，他向我們分享了他的專業知識。」―Dean Wampler博士 Fast Data Engineering副總如果你是高階經理人、管理者或任何對在組織內運用AI感興趣的人，這本書就是你的指南。你將了解AI是什麼、學習如何識別AI機會，並發展和執行成功的AI願景和策略。Alex Castrounis是企業顧問、前IndyCar工程師和競賽策略師，他檢視了AI的價值，並向你展示如何發展出對人和企業都有益的AI願景和策略。AI是令人興奮、強大且改變遊戲規則的；但太多AI提案以失敗告終。在本書中，你將探索實施AI提案的風險、注意事項、權衡和限制。你將得知透過好的AI解決方案和以人為中心的產品，如何能創造出更好的人類體驗和更成功的企業。‧使用本書的AIPB架構，透過AI進行端到端的、目標驅動的創新和價值創造‧為利害關係者(包括企業、客戶和使用者)定義出與目標一致的AI願景和策略‧透過關注科學創新和AI準備度和成熟度等概念，成功運用AI‧了解企業領導層對於追求AI提案的重要性

地圖是絕佳的空間資訊呈現介面，而因應大數據時代的來臨，不論是物聯網、新冠肺炎，或是各類社群與商業資料，都存在許多空間屬性資料（例如：感測器位置、疫情區域、經緯度、城市、國家等空間欄位等等），此類型的地理數據，與一般常見的商業數據屬性不同，需透過特定工具與方法將其視覺化，來有效傳達對應的數據故事。本書彙整了許多好用的地理數據視覺化工具，搭配圖片提供步驟式實作教學，主要針對容易入門、非程式的實作工具為主，包括：Excel、Flourish、Google Data Studio、Mapbox、Tableau、Kepler等；希望能夠透過此書，引導讀者一步步製作出專屬於自己的地理資料視覺化作品！

資料結構(Data Structures)是資訊學科中的核心課程之一，也是基礎和必修的科目。本書確實闡述資料結構的每一主題，並以圖文並茂的方式表達之，最能達到教學與學習事半功倍的效果。 各章的每一小節幾乎都附有「練習題」，讓讀者能藉由測驗，評量自己對此節的了解程度；而書末亦附有這些練習題的參考解答。各章末再附上「動動腦時間」，這些題目取自歷屆的高考或研究所考試題目，或是筆者根據內文加以設計的題目，每道題目後面皆標示出自的章節數，表示只要詳讀該節即可輕鬆地作答。 最新第五版增加了兩章，分別是紅黑樹和伸展樹，這些是很有效率的二元搜尋樹。

所謂「資料探勘」(Data Mining)是利用模型認知技術與統計的手法處理大數據，發現有意義的新模型及傾向的過程。IBM SPSS Modeler 是一款資料探勘與預測分析軟體，可以使用Microsoft 安裝程式(MSI) 在Windows 系統上完成安裝，最近也可以在雲端使用它。它擁有 30 多種基本的機器學習算法和自動建模方法，具有 R 語言可擴展性，可使用 Python 腳本。使用IBM SPSS Modeler軟體可以找出人們最頻繁討論的話題，或是企業可以了解消費者實際關心的問題。資料探勘因為是透過各種資料分析技術，挖掘出顧客的消費行為模式與各項營運作業之管理決策等，可說是知識管理之一大利器。例如，7-11超商就是充分運用資料探勘技術，不斷推出各種抓住顧客心房的行銷活動，以贏得更多顧客的心，並將店舖之經營作更完善的規劃管理，使其獲利並使績效能夠長期位居國內零售業之領先地位。根據美國一項調查超過7萬名購物者的行銷研究，發現消費者在他們店中購物的行為有其一定的慣性，如果門市經營者或是行銷人員能夠善用「消費者行為」模式，將可有效改善經營品質。書中也一併列舉IBM SPSS Modeler常用的分析方法供讀者參考。資料探勘的方法包括監督式學習、非監督式學習等。監督式學習包括：分類、估計、預測等；非監督式學習包括：集群、關聯規則分析等。上述相關的分析方法，在第1篇中均有步驟式的介紹 ; 第2篇中舉出百貨業的資料案例，分析顧客的消費行為，利用IBM SPSS Modeler從RFM的角度探討消費者的特徵，以及如何向未購買者推銷商品，盼能藉由此例題能激起讀者對資料探勘的興趣。

產品特色： 1.採用Microsoft 微軟所推出Power BI 軟體結合Excel 應用工具，透過步驟化的教學與說明，讓跨領域者與商業數據分析應用技能相互整合。 2.本書囊括資料清理到應用與視覺化分析等專業知識建構，一應俱全。 3.本書適合對商業智慧跨領域學習感興趣的學習者、學術機構與訓練中心採用，讓學生體驗跨領域職能的整合應用、商業智慧基礎應用、視覺化圖表製作等技術與核心知識建置技能實務操作

什麼是生物醫學資訊學專家？他們的工作做些什麼呢？作者Kevin曾是一個像是你我一樣的孩子，但長大後他成為一名生物醫學資訊學專家！Kevin從小就熱愛科學和動物，這種熱情加上他的工程學天賦，使他成為一名專門研究生物醫學資訊學的小兒科醫生——使用資訊科學來改善醫療保健。Who Me? 系列是由科學家本人和范德比大學 (Vanderbilt University)的合著者一同撰寫。透過科學家們鼓舞人心的的傳記，讓小讀者了解到，科學家都是像我們一樣的普通人，因為對學習和發現新事物的熱愛，一路上努力學習，並為自己創造機會並爭取成為科學家的機會，在了解科學家的成長故事的過程中，讀者除了能從中認識基本的科學概念，也能認識科學家現在所從事的尖端研究。What is a biomedical informatics expert? What does he or she do?Meet Kevin, a kid like you and me, who grew up to become a biomedical informatics expert! Kevin grew up loving science and caring for animals, and this passion, combined with his engineering aptitude, turned him into a pediatrician specializing in biomedical informatics — using computers and data science to improve health care.The Who Me? series features inspirational biographies of scientists who young readers will be able to identify with as people like themselves. Written by the scientists themselves and co-authors from Vanderbilt University, the books are designed to help young readers understand that sc

《金錢心理學》並非教你如何用數學公式致富，而是帶你深入理解「為何人們會這樣用錢」。作者摩根・豪澤以19篇精煉短文，揭示我們對金錢的直覺、恐懼、慾望與決策背後的心理機制。真正的財務智慧，不在於知識有多深，而是能否控制情緒與行為。在這本廣受好評的暢銷書中，你會發現投資與理財不是數學題，而是人性課。這本書適合所有想更好理解金錢與自己關係的讀者，幫你在混亂與不確定中，做出更聰明、更穩健的財務選擇。Doing well with money isn’t necessarily about what you know. It’s about how you behave. And behavior is hard to teach, even to really smart people.Money—investing, personal finance, and business decisions—is typically taught as a math-based field, where data and formulas tell us exactly what to do. But in the real world people don’t make financial decisions on a spreadsheet. They make them at the dinner table, or in a meeting room, where personal history, your own unique view of the world, ego, pride, marketing, and odd incentives are scrambled together.In The Psychology of Money, award-winning author Morgan Housel shares 19 short stories exploring the strange ways people think about money and teaches you how to make better sense of one of life’s most important topics.

本書介紹 Marie Tharp──第一位描繪出地球海底中央海嶺全貌的女性科學家。自小喜歡觀察世界、熱愛解謎的她，不願受限於時代對女性的期待。二十世紀中期，女性在科學領域並不受歡迎，海上研究更被視為「不適合女性」。Marie 因此無法登船，只能留在實驗室處理同事帶回的資料。然而，她並未因此退縮，而是逐點分析、逐張描繪，慢慢看見海底深處一條巨大裂谷的形狀。儘管科學界一開始對她的發現存疑，但她的資料與推論無懈可擊，最終證實自己觀察正確。這條海底山脈——世界上最大的地理構造——就從她狹小的辦公桌上被完整繪出。溫和呈現女性科學家的堅持與勇氣以易懂方式介紹海底地形與研究歷程適合作為科學啟蒙與女性人物傳記Meet Marie Tharp (1920-2006), the first person to map the Earth’s underwater mountain ridge, in this inspiring picture book biography from the author of Shark Lady.From a young age, Marie Tharp loved watching the world. She loved solving problems. And she loved pushing the limits of what girls and women were expected to do and be. In the mid-twentieth century, women were not welcome in the sciences, but Marie was tenacious. She got a job in a laboratory at Cambridge University, New York. But then she faced another barrior: women were not allowed on the research ships (they were considered bad luck on boats). So instead, Marie stayed back and dove deep into the data her colleagues recorded. S

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