Multidimensional Data Visualization

在 AI 迅猛演化的時代，本書提供一套兼顧理論深度與應用實作的完整教材。全書涵蓋四大部分，橫跨人工智慧的歷史發展、生成式 AI 的應用技巧、倫理與社會影響，以及資料探勘的實作導引。由淺入深，涵蓋 AI 三大範式：分別講解知識驅動、模型驅動與資料驅動，建立全貌式理解。生成式 AI 全攻略：詳解人臉辨識、文本生成、影音專案整合等應用，培養內容創作與技術實作能力。社會責任與倫理反思：針對 AI 衝擊的法律、勞動、教育與永生議題，引導學生批判性思考。免寫程式的實作入門：利用 Orange Data Mining 等工具設計直覺操作演練，降低入門門檻。 本書不僅適合資訊相關科系授課使用，亦為教師設計跨領域課程、以及自學者掌握 AI 應用的強力夥伴。從理論基礎到系統安裝，從社會洞察到內容生成，本書是通往 AI 實踐力與批判力的關鍵橋梁。

擺脫只教解題技巧的高中數學！藉由俯瞰高中數學的「全貌」，進一步窺探大學數學的「入口」代數、幾何、微分、積分、數列、數論、機率、統計、矩陣、向量等等⋯⋯這些高中三年間背下來的定理和公式到底是什麼意義呢？本書將數學視為學問，而只非應考的學科。既然是學問，最重要的就是掌握學習的意義和目的，了解「新概念是什麼」、「透過這個新概念可以得知什麼」。因此內文中花費大量篇幅在介紹應該得學習的概念，以及定理與公式的推導。除此之外，書中幾乎每個單元都設有專欄，為讀者介紹高中學到的數學知識在歷史上是如何誕生的，又對社會有什麼用處，以及高中數學和大學數學之間的關聯。相信從不同於教科書的角度認識高中數學，能幫助大家對它產生「更立體的理解」。不只是從最基礎的部分按部就班地講解，還以最好學習與理解的方式，從高中數學到大學數學的入口詳細說明。若能夠藉此了解定理與公式的隱藏「意義」，除了能真正理解數學，還能看見數學這門學問的「全貌」，進而享受到一個更為廣闊的數學世界。▋學習幾何學的真正原因跟生活中一定會用到的算術相比，數學可能並不算實用。其中跟圖形有關的幾何學在出社會後幾乎派不上什麼用場。然而我們的課綱卻還是沒有刪掉幾何學。這是因為幾何學雖然不實用，卻還是有學習的價值。我認為在所有數學領域中（尤其是對於將來不會用到數學的人），唯有幾何學是必學不可的。這是因為，若要鍛鍊邏輯思考能力，運用幾何學是最原始且直觀的方法。▋相關關係的注意點得益於IT領域的快速發展，擁有從大數據中找出有用資訊的數據探勘（Data mining）技術的統計學家在各個領域都取得了驚人的成果。學習統計學的目的，是為了培養準確分析數據、找出對生活有益資訊的能力；但要小心因為判斷錯誤而導致無法找到原本的「資訊」。關於相關關係需要注意的地方：⑴　分析出的趨勢不一定具有普遍性⑵　即使存在相關關係，也不一定代表存在因果關係

一本顛覆傳統，漫畫、劇本式直白呈現從無到有寫論文、期刊發表的歷程專書，教你寫出好論文……論文寫作就是一項闇黑的試煉。期待每位撰寫者在闇黑中找出屬於自己的那一道光。——國立屏東大學校長 陳永森教授應該不要只糾正學生寫作，而是應關心學生寫作的「心路歷程」。——普立茲獎得主、新罕布什爾大學教授唐納德‧默里繼《闇黑研究方法》後，作者方偉達又一「闇黑」力作！搭配精采漫畫故事，這次，又會讓讀者見識到怎樣的「闇黑」境界呢？將軍的戰場在戰場，教授的戰場在講堂。──方偉達 對每位研究者而言，論文是取得學位、職位升等……的門檻，如何在論文進行之初，就對論文寫作與研究方法擁有基礎的認知是基本功，但這也往往最讓撰寫者感到煎熬。 這一本書，不是只談枯燥的論文寫作過程、英文的修辭、文本進行修改，以及糾正錯誤的無聊書寫，它還著重在寫論文時，從無到有撰寫者擬真的心路歷程。透過書中12個角色人物，漫畫劇本中生動的演繹、呈現，讓寫論文的想題目、著手寫（研究課題、研究方法、參考文獻、研究設計、資料收集、分析討論……等）原本枯燥、制式的「程序」動作，讓你不只是理論、實務具備，更能在作品發表時，獲得你自己專屬的學術生命養成與智慧回饋。本書精彩篇目：PART 1西遊記什麼是論文、瞭解您的名詞：博士不只一種、論文開始前入門整理、科學在於不斷的證明、學校不會教您論文的格式、如何開始寫學位論文的摘要、表格和數字要怎麼列、如何寫學位論文的結論與建議、打造一些新的觀點和論述……PART 2封神榜沉浸在思考享受的過程、您的引用的來源可靠嗎、哈佛教會我的論文改寫方法、為什麼不能重複自己的話、學術論文的誠信、跨國國際出版商賣掉您的智慧財產權、論文要開放資訊（Open Data）嗎、發表文章被引用很重要嗎……書末附上碩 (博)士論文/書面報告/技術報告/專業實務報告通過簽名表、解釋名詞、貢獻者角色分類法

掌握Tableau，以資料分析驅動決策，發掘真正的商業洞見！ 在資料主導決策的時代，面對AI與自動化分析，光有資料、只會做圖表還不夠； 更重要的是，如何判斷資料是否可靠，並將分析轉化為真正有價值的洞見。 本書以Tableau為核心，帶你活用統計模型，驗證分析的可信度，讓資料不只「看起來合理」，而且有依據、有說服力、可以信任。 從統計顯著性、信賴區間到視覺化實務，協助你用科學方法解讀資料，做出更精準的決策。 無論是資料分析師、商業決策者，或希望提升資料判斷力的職場工作者，這本書都能幫助你將分析結果轉化為行動與影響力。 ------------------------------------------------ 「本書涵蓋了你開始在Tableau中運用統計所需的一切。Ethan清楚地帶領讀者了解背後的原理與實作的方法，非常精彩！」―Lorna Brown Data School教練，The Information Lab UK 「這本書結合了Tableau的統計分析功能與資料視覺化的強大表現，為讀者提供一套深入探索資料的有力工具。」 ―Christopher Gardner 商業智慧分析主任，密西根大學 在這個以資料驅動的時代，理解統計模型已成為進行有效分析與決策的關鍵。無論是剛入門的新手，還是經驗豐富的使用者，本書都能為您提供必要基礎知識，使您能夠掌握並靈活運用Tableau中使用各種統計模型，在運用模型時更具信心，讓您的分析成果與洞見更容易在組織內獲得認同與採納。 隨著人工智慧不斷促使各行各業產生變革，善用統計模型的能力早已從加分條件，轉變為不可或缺的基本技能。掌握這項能力，將幫助您充分釋放資料的潛能，並透過解讀與應用模型產出的洞見，使您始終保持領先地位。 無論您是資料分析愛好者、資料分析師，還是商業專業人士，本書都將帶來實用技巧與專業信心，協助您在快速變動的資料分析領域中游刃有餘、應對自如。 在本書中，您將會學習到： •在Tableau中建立基礎的統計模型 •驗證分析結果的統計顯著性 •計算並解讀信賴區間 •將統計融入資料視覺化的最佳技巧 •使用R和Python，整合Tableau與外部的分析工具 #Tableau #資料分析 #統計模型 #資料視覺化 #決策分析

超好用JODY線上題庫、用過的都說讚！(1)PTT推薦：提到寫題目，宏典出的JODY學習研究社很好用，可以挑選單章節練習，例如：現金流量表-近XX年-單選題-XX題數，搭配補習班或者自己的參考書一起配合，看完一個章節後大量練習該章節的題目，我自己是練習50題，這樣練習起來效果很不錯……關於不錯的另一個點是JODY的解答很詳細，類似教科書的那種……(2)PTT推薦：這邊非業配，但推薦Jody或阿摩這種考古題有詳解的網站，在後續做衝刺的時候很有幫助既然都要準備考試，該花的錢錢就不要省。(3)Dcard推薦：筆試準備Jody很好用Jody：主要是後期練法科題目跟英文(4)Dcard推薦：Jody：宏典的網站，詳解超讚(5)其他網站推薦：我覺得JODY線上題庫真的還不錯用，因為這個線上題庫可以記錄你哪些題目做錯，並且統計相關關鍵字，也可以收藏考古題，並且以亂數方式重新出題，這樣可以避免只背題號答案的窠臼，而是真正能夠理解題目內容。★2026全新改版！耗時全年，將全國各大國營事業最新年度招考之「所有最新試題100%全數導入」→更貼心為讀者做好「主題分類」與「題題詳解」。備戰國營事業招考大魔王英文，短期快速提升英文即戰力，「1本打天下」就是他！★廣受考生口碑肯定「準備國營考試，短期拉高英文分數這本一定要寫！」。眾所期盼2026新版正式發行，作者羅然耗時全年、精心將各大國營事業招考英文科「所有最新試題全部收錄、並細心按主題分類、題題詳盡解析」。「題目新＋題數多＋品質佳」，是您考前衝刺寫考古題時可以信賴的選擇！本書係由國考英文名師「羅然」利用「大數據(Big Data)」分析技術：在英文科四大架構（字彙、片語、文法、閱讀測驗）下，從近10年所有國民營事業招考英文科數千題試題中，分類歸納，萃取出「最頻出」試題，因而具備極大參考價值。讀者若能於考前善加利用本書，反覆紮實演練將收錄試題精熟，上了考場看到絕大部分考題時，必會有強烈「似曾相識」之感，並能會心一笑輕鬆選出正確答案，進而在英文這一科獲取高分！我國國營事業機構包括中油、中鋼、中華電信、台電、台糖、台菸、自來水公司、捷運公司等，每年各機構視自身人力需求會不定期辦理新進人員招募。而經濟部所屬事業機構在每年年底也會固定舉辦聯合招考，由於是定期舉辦的甄試且有一定規模，因此常被有志於進入國營事業體系的考生視為必定準備的重點考試。個別機構的招

Business Statistics: Communicating with Numbers takes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is taught and applied in the business world. This title not only prepares students in basic statistics but also gets them excited about further exploration of data analytics. The authors emphasize communicating with numbers rather than number crunching, through relatable case studies with relevant statistical methods and takeaways. This title incorporates timely examples from various fields, reinforces core features from previous editions, uses Excel and R to analyze data and solve problems, and includes new improvements, such as a revised chapter on data visualization, an exclusive chapter on logistic regression, and digital enhancements such as a big data capstone project with algorithmic exercises that span across multiple chapters.

Enzymes, Volume 1: Nature's Chemical Machines offers beginning-mid undergraduate students a platform in basic enzymology, including pure enzyme preparation, data collection and analysis, and enzyme study. It supports wider biochemical studies through varied examples, and leads to deeper coverage of the topic in Enzymes, Volume 2: Enzymes at Work.

This monograph presents a visually striking exploration of Refik Anadol’s data-driven installation, created for the opening of the new BRUSK museum in Bruges. The book offers exclusive visuals and reflections on the intersection of art, technology, and memory in Anadol’s work.Working at the intersection of art, science, and technology, Refik Anadol is best known for his large-scale immersive installations and public artworks that use machine learning, AI, and big data to visualize complex systems. Anadol’s work transforms raw data – ranging from urban landscapes to brainwaves – into dynamic, multi-sensory experiences, pushing the boundaries of how we perceive space, memory, and reality.For the inaugural programme at BRUSK, the new museum for contemporary art in Bruges, Belgium, Anadol presents a major site-specific installation that immerses visitors in a datadriven landscape unique to the city.

Business and Economics is a highly regarded title that equips students with a conceptual understanding and interpretation of statistics and its applications in the business world, while also promoting diversity, equity, and inclusion. The 2024 release takes a step-by-step approach, ensuring that beginners can easily grasp the concepts and succeed in a basic statistics course. With a focus on real-world application, this title uses examples and exercises to illustrate how statistics can be applied to solve current business scenarios. Additionally, the authors recognize the growing importance of data analytics and support the development of these basic skills through an application-based section on data analytics at the end of each chapter along with easily accessible data sets for practice. This title primarily uses Excel, Minitab, and MegaStat to demonstrate statistical analyses, helping users create graphical and descriptive statistics and conduct hypothesis testing.

An exciting new business ethics textbook that looks at the most pressing contemporary issues including data ethics, technology and equality and diversity.

Math booster author David A. Adler and artist Ed Miller make pie charts easy-as-pie charts with this fun and vibrantly illustrated guide to data collection. For students, STEM topics don't always feel like a walk in the park. But what if they were more like a day at the fair? Follow Janet and Ben from the Ferris Wheel to the carousel as they use graphs and data collection to make decisions about their day. This is the sixteenth book in this duo's math picture book series. Combining elements of a graphic story with engaging and accessible nonfiction text, David A. Adler combines his well-established STEM know-how with Edward Miller's vibrant, high contrast art to take young readers on a wild ride through the world of bar graphs, pictographs, pie charts, and more!

Take Your First Look Into The Lives of Pok幦on! This book and its vivid illustrations introduce you to the ecologies of Pok幦on based on data from the Pok嶮ex. Pok嶰ology: An Illustrated Guide to Pok幦on Ecology focuses on the similarities, differences, generalities, and relationships between Pok幦on ecologies. The results of those observations and analyses are presented alongside spectacular artwork. The author and illustrator--both of whom hold doctorate degrees and have studied animal behavior and ecology--explain "Pok嶰ology" from a brand-new perspective.

Join the new category of leaders who are taking a stand for a better way of working, by becoming an AI-driven leader.The difference between growing your business and going out of business is your ability to think strategically.The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI. While you know AI is the future, current demands leave you with no time to explore its benefits. Meanwhile, your competition is gaining an edge by integrating AI. The time to act is now.In The AI-Driven Leader, you'll learn how to:· Escape operational overwhelm and lead with strategic clarity· Collapse the time it takes to turn data into decisions· Transform your decision-making with AI for strategic advantage· 10x the impact of every employee· Apply real-world examples and prompts to get immediate resultsYou know AI matters, but you're not using it to transform how you think, make de

Prevailing classification systems backed by the American Psychiatric Association (DSM) and World Health Organization (ICD) generally assume that mental health conditions are best represented by discrete entities that are qualitatively distinct from one another and from mental health. These diagnostic categories, such as major depression, antisocial personality disorder, and obsessive-compulsive disorder, are ubiquitous in research, clinical, training, legal, and public health contexts. Yet they are out of sync with a vast quantity of scientific data on the presentation, causes, and treatments of psychopathology. Empirically speaking, categorical diagnoses tend to be unreliable (over time and across reporters), have fuzzy boundaries with one another and mental health, do not capture many clinical presentations encountered in routine practice, and lack distinctive causes and recommended treatments. Dimensional perspectives recognize the same signs and symptoms as categorical rubrics, but

A myth-busting investigation of small donors: who they are, how they spend their money, and whose campaigns actually benefit from their donations. Many political reformers argue that more robust small donor participation in US campaigns would reduce the influence of the wealthiest Americans and improve political responsiveness to ordinary citizens. Drawing on extensive data, including surveys and campaign records, Zachary Albert and Raymond J. La Raja largely dispel this myth, offering the first comprehensive portrait to date of small donors in US elections. Although small donor contributions to high-profile, national races have increased markedly since 2018, the US campaign finance system allows for even larger sums of money from Super PACs and other independent spending groups. Moreover, small donors are mostly similar to their larger contributor counterparts: both are socioeconomically advantaged, strongly partisan, ideologically extreme, and distinct from non-donors. Small donors

In a world where it s easy to feel like everything is going wrong, world-renowned psychiatrist Paul Conti asks what s going right?Despite the increasing availability of mental health resources and freedom of people talking about it, the data around mental health shows a steady decline in happiness. Why are all the metrics heading the wrong way? With his characteristic warmth, optimism and expertise however, Dr Paul Conti wants you to flip the narrative and ask yourself the empowering question: how can we go right?Based on his Generative Drive framework, and as seen on the wildly popular podcast series on Andrew Huberman s Huberman Lab, What s Going Right will guide readers to understanding and assessing their mental health. Also informed by Paul s own journey and his decades of experience helping patients, this book will provide you with a simple, science-based framework for improving mental health, fortified with practical tools that you can tailor to yourself in the real world.With a