Nonrecursive Models

An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is

Cachon Matching Supply with Demand, 4e is a clear, concise and more rigorous approach to an introductory Operations management course. Written by Wharton authors who use their guiding principles “real operations, real solutions” to bring the text and concepts to life, writing the majority of chapters from the perspective of specific companies. The “real solutions” refers to providing students with tools and strategies they can implement in practice and apply the author's models in a realistic operational setting. The authors strive for “real simple” by using as little mathematical notation as possible, focusing on many real-world examples and consistent terminology and phrasing throughout.

論文．我國工礦安全衛生技師核心職能需求評估之研究－謝馥蔓、游逸駿、林雲卿、蔡朋　枝．低壓設備接地線帶危害電壓偵測模組雛型研製－吳啟瑞、簡佑倫、江國銘、蘇文源．利用CCD目鏡結合位相差顯微鏡進行石棉濾紙樣本鏡檢可行性探討－謝俊明．中部地區裝潢木工作業調查與暴露評估研究－莊坤遠、李聯雄、賴嘉祥、楊崒苑、　劉丞斌．A Empirical Study of the Models of OSH

社會科學研究方法一日千里，傳統上以線性模式來分析社會現象與教育現象的方式，受到不少質疑。近年來，社會科學界為了解決資料結構具有巢套與階層特性，常以階層線性模式（Hierarchical Linear and Nonlinear Models, HLM）或稱為多層次模型來分析，重點在於它更能掌握社會現象與教育現象的真實性，推論能更為準確，因而在企業管理、社會學與心理學運用的分析很多。 本書共分五篇

AI 語言技術的進步，正以前所未有的速度改變世界！「Jay和Maarten一如既往地運用精美的插圖為複雜主題提供深具洞察的描述。對於任何想了解大型語言模型背後主要技術的人來說，這本書都是寶貴的資源。」—Andrew Ng（吳恩達)，DeepLearning.AI 創辦人「我想不出有哪本書比這本書更重要，值得現在就去閱讀。書中的每一頁，我都學到在這個語言模型時代，對於成功至關重要的知識。」—Josh Starmer，StatQuest想深入了解大型語言模型的奧秘，並將其應用於實際專案中？《Hands-On Large Language Models》正是為你量身打造的指南！由知名AI專家Jay Alammar和Maarten Grootendorst執筆，透過近300幅精美圖解，帶你輕鬆掌握LLM的核心概念和實踐技巧。無論是文案撰寫、摘要生成，還是建立先進的語義搜尋系統，本書都提供了詳盡的步驟和範例，助你在AI領域中脫穎而出。快讓《Hands-On Large Language Models》開啟你的 AI 進階之旅！--------------------------------------------------------近年來，AI在語言處理領域取得了驚人的突破。隨著深度學習的快速發展，語言AI系統在文字寫作與理解方面的能力，比以往任何時候都更加出色。這一趨勢正在催生全新的功能、產品，甚至是全新的產業。透過本書視覺化的教學方式，你將學習如何運用這些強大技術，掌握實用工具與關鍵概念，並能立即應用於你的專案中！你將學會如何運用預訓練的 LLM 進行文案撰寫與摘要生成；打造超越傳統關鍵字匹配技術的語義搜尋系統；運用現有的函式庫和預訓練模型，來進行文本分類、搜尋與聚類。本書將助你深入理解：• Transformer語言模型的架構，掌握文本生成與語意表達的核心技術。• 構建高效的LLM流程，對文本資料進行聚類並探索其主題。• 透過密集檢索（dense retrieval）與重新排名（reranking），構建超越關鍵字匹配的語義搜尋引擎。• 從提示工程（prompt engineering）到檢索擴增生成（RAG），探索生成式AI的各種運用方式。• 深入學習如何訓練 LLM，針對特定應用進行優化，包括生成式微調（generative fine-tuning）、對比微調（

>資 料 不 外 流，模 型 任 你 遊

「對於那些參與系統開發或關注如何降低系統風險的人，這是一本必看的書籍」 -Alyssa Miller, 駭客暨資訊安全傳教士 「對於專注交付安全性設計的讀者，本書將威脅建模方法與現代軟體的開發方式保持一致，是一本全方面比較威脅建模技術的書籍。」 -Brook S.E. Schoenfield, 《Securing Systems: Applied Security Architecture and Threat Models》作者，資訊安全架構師 在軟體開發生命週期中，威脅建模往往是最基本但卻容易被誤解的一環。無論您是資訊安全從業人員或開發團隊成員，本書將幫助您更好地理解如何應用威脅建模的核心概念，在實務上保護您的系統免受威脅。 威脅建模技巧旨在編寫代碼之前，以具有成本效益的方式發現和解決潛在問題。使用威脅建模技術並不需要高階資安知識，也不需要付出鉅額維護成本。本書作者Izar Tarandach和Matthew J. Coles在本書中介紹了可以在您的組織中處理和執行威脅模型分析的各種方法。 ‧探索用以保護資料和系統功能的威脅建模基本特性及機制 ‧了解保護機制、隱私性、和安全性之間的關係 ‧識別評估系統安全性的關鍵特徵 ‧深入認識用於威脅模型分析系統的流行和專業技術 ‧眺望威脅建模、敏捷開發(Agile development methodologies)和開發維運自動化(DevOps automation)的未來發展 ‧查找常見問題的答案，包括如何避免常見的威脅建模陷阱

韮澤靖既是設計師，也是插畫家，還是一名造型師，他將自己對怪獸、怪人、動漫、玩具、GK套件、搖滾和龐克等興趣愛好轉化為內在的養分，持續淬煉出震人心魄又充滿魅力的角色。如今距他逝世已屆６年之久，大家依舊對於他的突然離世深感惋惜，同時那些他殘留在影像和造型物中有著獨特風格和概念的角色，現今仍然持續吸引新的追隨者。 「H.M.S.（Hidden Models and Sculptors）」的成立是希望提供一個空間，讓以造型為志業的創作者，表現自己默默打造的獨特作品世界。因此本刊特別出版第一號特輯，為大家介紹韮澤靖大師的作品世界以茲紀念。我們還邀集了至今仍熱愛韮澤靖作品，並深受其風格吸引的人，包括他的朋友、粉絲，以各自懷抱的熱情和豐富的想像，挑戰創造出結合韮澤靖作品角色的作品。

～向經典「S.M.H.」絕版模型雜誌致敬～充滿恐怖、傳說、妖怪、科幻等異世界黑暗風格──30部鮮為人知的Hidden Models and Sculpture！【本書特色】◎收錄21位人物雕塑家、影視作品造型師和特殊化妝師等各領域約30部3D造型寫真。◎ H.M.S. 誕生的推手山脇隆獨家訪談，關於H.M.S.的誕生與今後走向。◎伊原源造（源工房）美國土造型入門技法大公開，過程中意想不到的失敗與臨時變更方向實況直播。本書以「異世界BAR」的主題設定揭開序幕，讓人充分沉浸在H.M.S.的奇幻藝術時光中，與奇幻生物（異形）們一起歡鬧飲酒，收錄山脇隆、米山啓介、佐藤和由、古市竜也、實方一渓、丹羽俊介、麻生敬士、福田浩史、伊原源造、百武朋、小林義仁、大森記詩、吉田茂正、元內義則、竹內しんぜん等21位奇幻造型作家作品。以四個CHAPTER「黑暗祭禮」、「奇妙造訪者」、「怪誕機械」、「探訪異世界」分別收錄原型師共30部作品，每部作品皆不設限主題，只要能呈現「奇幻風格並具藝術感」，讓原型師們自由發揮，創作者可製作自己真正想做的作品，感覺就像是替心裡蘊釀好的故事畫個插畫一般，每部作品皆有詳細的作品解說及故事設定，用足足兩頁的篇幅敘說作品細節局部，讓讀者從月刊Hobby Japan 2018年7月號到2020年12月號第29期，一口氣欣賞了幾乎兩年半分量的內容、大飽眼福。

►從總結重點到畫畫、寫代碼，人工智慧真的無所不能嗎？►ChatGPT具體優缺點一次看！如何讓AI發揮實際功效？►AI時代人腦還有競爭力嗎？過度依賴機器會有什麼後果？人類創造了人工智慧，人工智慧改變了傳統產業；洞悉AIGC的無限潛能，走向數位經濟的新高峰！▎探索AI未來的起點 隨著生成式人工智慧（AIGC）的崛起，世界正在步入一個全新的時代。本書開篇即深入剖析AIGC作為新一代互聯網基石的技術特性與發展背景，揭示其如何透過AI生成、深度學習與大數據分析，改變人們的生活方式與工作模式。從早期的AI藝術創作到如今的多領域應用，AIGC正不斷拓展其在各個產業中的可能性，讓未來充滿無限想像。▎技術變革中的智力進化 人工智慧的飛速發展離不開深度學習與大模型的支撐。書中詳細介紹了深度學習如何透過大量數據訓練，逐步模擬並優化人類思維模式，實現從基礎認知到複雜推理的躍升。此外，讀者將了解到關鍵技術的演進歷程，包括生成對抗網路（GAN）與擴散模型（Diffusion Models）的創新，這些技術為人工智慧在圖像、文本與語音等領域的突破奠定了基礎。▎跨越邊界的商業機遇 AIGC的潛力不僅限於技術層面，更展現在商業化的無限機遇上。本書詳細剖析了AI對話技術如何推動行業效率提升，並介紹了AIGC在創意產業、金融服務與智慧城市建設中的應用範疇。隨著產業生態的逐步成熟，未來的競爭將圍繞如何有效利用AIGC來構建新型數位化平台展開。同時也以中國為例，點出其在國產化大模型研發上的突破與市場潛力。▎倫理挑戰與社會反思 當人工智慧逐漸深入人類社會，各種隱憂與挑戰也隨之而來。本書探討了AIGC在道德與倫理層面的爭議，例如隱私保護、就業取代與社會責任問題。此外，人工智慧在教育中的應用引發了對學習本質的重新思考——當AI能夠生成知識與內容時，人類的學習價值又該如何定位？本書引導讀者思考這些尖銳問題，並試圖尋找可行的解決方案。▎迎向未來的AI新紀元 在這場全球性的AI浪潮中，AIGC的未來發展勢不可擋。本書最後展望了人工智慧在數位經濟中的領導地位，並提出了對新興科技應用的思考。透過對技術實踐與挑戰的深入分析，作者鼓勵讀者積極參與這場變革，抓住時代機遇，成為AI時代的創新者與領航者。這本書不僅是一份關於人工智慧的技術指南，更是一場關於未來的思維啟發之旅。〔本書特色〕本書聚焦生成式人工智慧（AIGC）的

This book reviews the basic models and theories of nuclear structure and gives an in-depth analysis of their experimental and mathematical foundations. It shows the relationships between the models an

1. Added material on important techniques for data mining, including regression trees and neural network models in Chapters 11 and 13.2. The Chapter on logistic regression (Chapter 14) has been extens

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Since 2007, the repeated financial crises around the world have brought to the headlines financial practices and models considered to fuel the economic instabilities. Deep Dive into Financial Models:

Since 2007, the repeated financial crises around the world have brought to the headlines financial practices and models considered to fuel the economic instabilities. Deep Dive into Financial Models:

Economic Models for Industrial Organization focuses on the specification and estimation of econometric models for research in industrial organization. In recent decades, empirical work in industrial o

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approach while compartment models serve as examples for context related to modeling. The preconditions and characteristics of the developed mathematical models as well as the conditions surrounding da

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This book reviews the basic models and theories of nuclear structure and gives an in-depth analysis of their experimental and mathematical foundations. It shows the relationships between the models an

The Proceedings of the 1st Conference on New Trends in Fluid and Solid Models provide an overview of results and new models in fluid dynamics and, in general, in continuum mechanics. The contributions

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Models of Imperfect Information in Politics

Models of the Oil Market

Reduced Forms of Rational Expectations Models

Kutner, Nachtsheim, Neter, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.)

The Relevance of Models for Social Anthropology

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Written by renowned experts in the field, this authorized reissue of a textbook has as its unifying theme the role that probability models have had, and continue to have, in scientific and practical a

Two models for the origin of the Solar System, the Nebula Theory and the Capture Theory, are discussed by protagonists, Simon and Steven respectively, in the presence of Solomon, who oversees the disc

"Two models for the origin of the Solar System, the Nebula Theory and the Capture Theory, are discussed by protagonists, Simon and Steven respectively, in the presence of Solomon, who oversees the dis

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The book reviews several theoretical, mostly exactly solvable, models for selected systems in condensed states of matter, including the solid, liquid, and disordered states, and for systems of few or

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Computer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering. However, although high-fidelity numerical models are accurate, they ca

This volume provides a broad introduction to nonlinear integral dynamical models and new classes of evolutionary integral equations. It may be used as an advanced textbook by postgraduate students to

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This book provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, a