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Artificial Communication
滿額折
出版日:2022/04/05 作者:Elena Esposito  出版社:Mit Pr  裝訂:精裝
A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication. Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but as artificial communication. To do this, we need a concept of communication that can take into account the possibility that a communication partner may not be a human being but an algor
優惠價: 79 839
庫存:2
實戰SEO:60天讓網站流量增加20倍
滿額折
出版日:2023/07/24 作者:昝輝(Zac)  出版社:碁峰資訊  裝訂:平裝
SEO是Search Engine Optimization的縮寫,中文譯為「搜尋引擎最佳化」。簡單地說,SEO是指從自然搜尋結果獲得網站流量的技術和過程。好的SEO,可以讓潛在客戶更有機會進入您的網站,帶來更多的商機。 本書完整而詳盡地介紹了正規、有效的SEO實戰技術。精采內容包括: .為何要做SEO? .搜尋引擎工作原理 .關鍵字研究 .網站架構最佳化 .外部連結建設 .SEO效果檢測及策略修正 .SEO作弊及懲罰 .排名因素列表 .常用的SEO工具 .SEO專案管理中需要注意的問題 本書不僅對需要做SEO的人員有幫助,如個人站長、公司SEO或網路行銷人員、SEO服務公司人員等,對所有從事與網站相關工作的人都有參考價值,如網站設計人員、程式師、大專院校網路行銷和電子商務課程、網路公司技術和行銷團隊、傳統商業公司電子商務團隊等。
優惠價: 9 585
庫存:3
Discrete Signals and Systems with Matlab(r)
75 折
出版日:2022/04/29 出版社:CRC PR INC  裝訂:平裝
優惠:Taylor and Francis 書展 優惠價: 75 2696
庫存:1
跨境電商好生意:微利時代的不敗獲利模式,站在亞馬遜的肩膀上賣到全世界
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出版日:2023/06/27 作者:Anfernee張家睿; Tami黃宥蓁  出版社:墨刻  裝訂:平裝
這是一本專門協助營收遇到天花板找到下一個業績成長的經營策略 《跨境電商好生意》是榮獲亞馬遜全球開店首屆服務商大會《最佳推廣服務商》TransBiz創辦人Anfernee張家睿、Tami黃宥蓁的首部作品。本書針對還在觀望是否該投入做跨境電商的企業,或是想經由跨境電商創業、有小額資本的個人,理解如何在全球化與時代浪潮下,發現面臨的困境與跨境電商的機會,與提供亞馬遜成功的經營實戰秘訣。 ▍必學經營心法|亞馬遜全球開店實戰秘訣攻略從275+客戶、1000+諮詢,錘鍊B2C品牌如何從0到1,成功萃取轉動亞馬遜銷售飛輪的PPCGO營運心法,徹底解決景氣起伏、科技創新、粉絲變心的運營困境,打造熱銷品牌、飆高流量、銷量與營業額。• Product Differentiation→產品差異化 • Purposeful Brand→品牌差異化 • Conversion Focused Design→高轉換產品頁 • Get Traffic→廣告行銷 • Optimization Based on Data→持續優化 ▍發現趨勢機會|全球最新商機全導覽北美→歐洲→日本→東南亞→中東→南美→6大熱門市場完整解析 ▍致勝商模策略|120天開店藍圖接班→轉型→創業→創新→真實案例超詳解 ▍本書3大特色• 台灣第一本亞馬遜跨境電商經營教學大全• 第一手台灣企業成功與失敗案例分析• 一看就懂的文、圖、表、數據工具好學好用 ▍各界好評聯手推薦(依照姓氏筆畫排序)元智大學管理學院助理教授|朱訓麒燒賣研究所笑長/共同創辦人|周振驊電商實戰顧問、品牌顧問、BVG副總|邱煜庭/小黑透鏡數位有限公司創辦人|原詩涵novium品牌共同創辦人|梁國鴻意碩整合行銷有限公司總經理|蔡建郎台北市進出口商業同業公會副秘書長|蔡順達台灣電子商務專家‧全球前 2% 頂尖科學家|盧希鵬智匯家有限公司總經理|賴順賢
優惠價: 9 378
庫存:3
新SEO 超入門!打敗 AI、征服搜尋引擎,洞悉使用者需求的必備指南
滿額折
出版日:2023/02/06 作者:嚴家成; 博士  出版社:旗標出版社  裝訂:平裝
▍SEO 觀念大進化!因應搜尋引擎最新演算法更新 + AI 發展,全面迎接新挑戰!▍純本土案例分析,實戰零距離,學會滿滿「免費又有效」的行銷好點子!▍內附各種實戰範例表及 demo 演練,有如身處 SEO 操作實境,學得快又深刻▍100 個 (30 類) SEO 操作工具全公開!關鍵字蒐集/監控、網頁效能檢查...無往不利!根據研究,在 SEO (Search Engine Optimization, 搜尋引擎最佳化) 流量、關鍵字廣告、社群流量、電子郵件行銷...等眾多手法中,以【 SEO 流量】最能夠促進網站流量。而近年來 SEO 也有很大的改變,已經不光用來提高網站的自然搜尋排名,而是進一步用來提升網站的自然搜尋流量,並且將導入的流量,藉由滿足使用者的需求來轉換成業績。此外,近期國內外許多人工智慧蓬勃發展 (例如 OpenAI 的 ChatGPT 聊天機器人爆紅),也讓許多人想透過 AI 來產生網頁內容。這些人工智慧應用的出現,勢必會帶動網站生態與搜尋引擎演算法的改變。面對種種變局,就讓這本最新、題材最全面的「新」SEO 超入門來幫你吧!本書以各種耳熟能詳的本土網站案例分析 (蝦皮、MOMO、104 人力銀行...) 、大量圖解,以及 Step by Step 的步驟式操作,帶你快速學會 SEO 的操作內容。從認識搜尋引擎的網頁評分制度 → 替自己的網站作體檢、分析缺失 → 根據分析結果進行網站結構、內容上的調整 → 用最新的 Google 分析 (GA4) 評估 SEO 成效,是一整套完整的 SEO 實戰訓練,100% 為新手量身打造。【滿滿「馬上就可以動手做」的 SEO 操作技巧】新手在剛接觸 SEO 時,難免會把 SEO 想得「博大精深」。SEO 範圍的確很廣、要做的事很多,不過閱讀本書時,您可以輕鬆獲得清楚易懂、「這個我馬上就可以動手做!」的操作指示,例如:□ 用 MozBar 工具速查網頁的價值□ 用排名好的頁面拉抬其他頁面□ 定期的把優質的內容挖掘出來重新刊登、策展□ 檢查 6 大設定,避免網頁喪失參與搜尋排名的機會□ 什麼樣的網址才是 SEO 友善網址...更多詳見書中內容有了這些,再也不會千頭萬緒,不知從何開始改善起!【各種實戰範例 demo + 100 個 SEO 操作工具全公開】此外,本書也將操作 SEO 會用到的【實戰範例表】 (關鍵字與
優惠價: 95 599
庫存:3
演算法學習手冊:寫出更有效率的程式
滿額折
出版日:2022/06/22 作者:George T. Heineman  出版社:美商歐萊禮  裝訂:平裝
「一本平易近人的著作,可讓你立即應用進而提升程式的執行效率。書中將教你電腦科學中會用到的基本演算法和資料型別。如果你正在找一份程式設計相關的技術工作,這本書可能會在下次的程式面試中幫助你取得好成績。」 ― Zvi Galil 喬治亞理工學院 計算學院Frederick G. Storey主任暨名譽院長 論及撰寫有效率的程式時,每位軟體專業人士都需要具備有效率的演算法運作知識。在這本實務書籍中,《Algorithms in a Nutshell》作者George Heineman對於多種語言編寫程式時所用的效能改進關鍵演算法,有簡潔而詳實的介紹。軟體開發人員、測試人員、維護人員將理解演算法如何創造性地解決運算問題。 每章都會以前面章節內容為基礎,藉由清晰的圖示和不斷提供的新基本概念,包括演算法分析,對書中介紹的每個演算法做效能分級。你可以將每章所學到的內容,應用到該章最後的挑戰題中,如同模擬在程式術科面試場上的體驗。 閱讀本書,你將可以: ‧探索電腦科學和軟體工程核心的基本演算法 ‧學習有效率解決問題的常見策略,例如:分治法、動態規劃、貪婪方法 ‧使用Big-O分析與評估程式的時間複雜度 ‧使用現有的Python函式庫和資料結構來解決演算法問題 ‧了解重要演算法的主要步驟
優惠價: 9 522
庫存:2
Introduction to Online Convex Optimization, second edition
79 折
出版日:2022/10/11 作者:Elad Hazan  出版社:Mit Pr  裝訂:精裝
New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process.In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization presents a robust machine learning approach that contains elements of mathematical optimization, game theory, and learning theory: an optimization method that learns from experience as more aspects of the problem are observed. This view of optimization as a process has led to some spectacular successes in modeling and systems that have become part of our daily lives. Based on the “Theoretical Machine Learning” course taught by the author at Princeton University, the second edition of this widely used graduate level text features:Thoroughly updated material throughoutNew chapters on boosting, ad
優惠價: 79 1801
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出版日:2022/07/15 作者:Ali Grami  出版社:ACADEMIC PR INC  裝訂:平裝
Discrete Mathematics: Essentials and Applications offers a comprehensive survey of the area, particularly concentrating on the basic principles and applications of Discrete Mathematics. This up-to-date text provides proofs of significance, keeping the focus on numerous relevant examples and many pertinent applications. Written in a simple and clear tone, the title features insightful descriptions and intuitive explanations of all complex concepts and ensures a thorough understanding of the subject matter.
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
Introduction to Algorithms, fourth edition
79 折
出版日:2022/03/22 作者:Thomas H. Cormen  出版社:Mit Pr  裝訂:精裝
A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout. New for the fourth edition New chapters on matchings in bipartite graphs, online algorithms, and machine learningNew material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays140 new exerc
優惠價: 79 7110
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Iterative Learning Control Algorithms And Experimental Benchmarking
90 折
出版日:2022/12/16 作者:Rogers  出版社:John Wiley & Sons Inc  裝訂:精裝
With Iterative Learning Control Algorithms and Experimental Benchmarking the authors discuss the main methods of iterative learning control (ILC) and its interactions, as well as comparator performanc
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
Algorithms for Decision Making
79 折
出版日:2022/08/02 作者:Mykel J. Kochenderfer  出版社:Mit Pr  裝訂:精裝
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.Automated decision-making systems or decision-support systems―used in applications that range from aircraft collision avoidance to breast cancer screening―must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through inte
優惠價: 79 4503
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Machine Learning for Engineers
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出版日:2022/08/31 作者:Osvaldo Simeone  出版社:Cambridge Univ Pr  裝訂:精裝
This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slide
優惠價: 9 3217
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Wireless Discrete-Time Receivers
90 折
出版日:2022/06/30 作者:Massoud Tohidian  出版社:Cambridge Univ Pr  裝訂:精裝
The first comprehensive guide to discrete-time (DT) receivers (RX), discussing the fundamental concepts and implications of the technology. This book will serve as an essential reference, covering the necessary building blocks of this field, such as low-noise transconductance amplifiers, current-driven mixers, DT band-pass filters, and DT low-pass filters. As well as addressing the basics, the authors present the most recent state-of-the-art techniques applied to the DT RX blocks. A step-by-step style is used to allow readers to develop the required skills to design the DT receivers at the architecture level, while providing in-depth knowledge of the details. Written by leading experts from academia, research, and industry, this book provides an excellent reference to the subject for a wide audience, from postgraduate students to experienced researchers and professionals working with RF circuits.
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
Geometry of the Phase Retrieval Problem:Graveyard of Algorithms
90 折
出版日:2022/04/30 作者:Alexander H. Barnett  出版社:Cambridge Univ Pr  裝訂:精裝
Recovering the phase of the Fourier transform is a ubiquitous problem in imaging applications from astronomy to nanoscale X-ray diffraction imaging. Despite the efforts of a multitude of scientists, from astronomers to mathematicians, there is, as yet, no satisfactory theoretical or algorithmic solution to this class of problems. Written for mathematicians, physicists and engineers working in image analysis and reconstruction, this book introduces a conceptual, geometric framework for the analysis of these problems, leading to a deeper understanding of the essential, algorithmically independent, difficulty of their solutions. Using this framework, the book studies standard algorithms and a range of theoretical issues in phase retrieval and provides several new algorithms and approaches to this problem with the potential to improve the reconstructed images. The book is lavishly illustrated with the results of numerous numerical experiments that motivate the theoretical development and p
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
Introduction to Modeling Cognitive Processes
79 折
出版日:2022/02/01 作者:Tom Verguts  出版社:Mit Pr  裝訂:精裝
An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a mathematically gentle and theoretically unified introduction to modeling cognitive processes. Theoretical exercises of varying degrees of difficulty throughout help readers develop their modeling skills. After a general introduction to cognitive modeling and optimization, the book covers models of decision making; supervised learning algorithms, including Hebbian learning, delta rule, and backpropagation; the statistical model analysis methods of model parameter estimation and model evaluation; the three recent cognitive modeling approaches of reinforcement learning, unsupervised learning, and
優惠價: 79 1501
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Discrete Mathematics: A Concise Introduction
90 折
出版日:2023/06/11 作者:George Tourlakis  出版社:Springer Nature  裝訂:精裝
This book is ideal for a first or second year discrete mathematics course for mathematics, engineering, and computer science majors. The author has extensively class-tested early conceptions of the book over the years and supplements mathematical arguments with informal discussions to aid readers in understanding the presented topics. "Safe" - that is, paradox-free - informal set theory is introduced following on the heels of Russell's Paradox as well as the topics of finite, countable, and uncountable sets with an exposition and use of Cantor's diagonalisation technique. Predicate logic "for the user" is introduced along with axioms and rules and extensive examples. Partial orders and the minimal condition are studied in detail with the latter shown to be equivalent to the induction principle. Mathematical induction is illustrated with several examples and is followed by a thorough exposition of inductive definitions of functions and sets. Techniques for solving recurrence relations i
優惠價: 9 2160
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Machine Learning from Weak Supervision
79 折
出版日:2022/08/23 作者:Masashi Sugiyama  出版社:Mit Pr  裝訂:精裝
Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. This book presents theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data. Emphasizing an approach based on empirical risk minimization and drawing on state-of-the-art research in weakly supervised learning, the book provides both the fundamentals of the field and the advanced mathematical theories underlying them. It can be used as a reference for practitioners and researchers and in the classroom.The book first mathematically formulates classification problems, defines common notations, and reviews various algorithms for supervised binary and multiclass classif
優惠價: 79 1951
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Multiscale Modelling And Optimisation Of Materials And Structures
90 折
出版日:2022/05/30 作者:Burczynski  出版社:John Wiley & Sons Inc  裝訂:精裝
Addresses the topical, crucial and original subject of parameter identification and optimization within multiscale modeling methods. This book presents an area of research that enables the design of m
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
4G通信網絡管理員(高級)(高職)(簡體書)
滿額折
出版日:2022/03/09 作者:劉贇宇  出版社:西安電子科技大學出版社  裝訂:平裝
Based on TD-LTE (Time Division-Long Term Evolution), this book adopts the modular teaching mode and applies the eNodeB equipment of Datang Mobile TD-LTE. Through the specific tasks in each module, it presents such contents as base station products, equipment installation, wireless technology, network testing, network planning and optimization, etc. in a comprehensive and detailed way. This book is divided into four training modules, namely, TD-LTE Equipment Cognition, TD-LTE Key Technologies, Network Test, Network Planning and Optimization. After learning the four training modules, learners can master the basic contents involved in the operation and maintenance of the mobile communications system, such as the hardware structure, maintenance and testing of the base station equipment, network planning and optimization. This book aims to cultivate high-quality skilled personnel who master the testing and optimization skills of base station and meet the requirements of standardized field m
優惠價: 87 125
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MemComputing:Fundamentals and Applications
95 折
This book explains the main ideas behind MemComputing, its theoretical foundations and its applicability to a wide variety of combinatorial optimization problems, machine learning, and quantum mechani
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
Classical and Discrete Functional Analysis with Measure Theory
90 折
出版日:2022/01/31 作者:Martin Buntinas  出版社:Cambridge Univ Pr  裝訂:精裝
Functional analysis deals with infinite-dimensional spaces. Its results are among the greatest achievements of modern mathematics and it has wide-reaching applications to probability theory, statistics, economics, classical and quantum physics, chemistry, engineering, and pure mathematics. This book deals with measure theory and discrete aspects of functional analysis, including Fourier series, sequence spaces, matrix maps, and summability. Based on the author's extensive teaching experience, the text is accessible to advanced undergraduate and first-year graduate students. It can be used as a basis for a one-term course or for a one-year sequence, and is suitable for self-study for readers with an undergraduate-level understanding of real analysis and linear algebra. More than 750 exercises are included to help the reader test their understanding. Key background material is summarized in the Preliminaries.
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
Classical and Discrete Functional Analysis with Measure Theory
滿額折
出版日:2022/01/31 作者:Martin Buntinas  出版社:Cambridge Univ Pr  裝訂:平裝
Functional analysis deals with infinite-dimensional spaces. Its results are among the greatest achievements of modern mathematics and it has wide-reaching applications to probability theory, statistics, economics, classical and quantum physics, chemistry, engineering, and pure mathematics. This book deals with measure theory and discrete aspects of functional analysis, including Fourier series, sequence spaces, matrix maps, and summability. Based on the author's extensive teaching experience, the text is accessible to advanced undergraduate and first-year graduate students. It can be used as a basis for a one-term course or for a one-year sequence, and is suitable for self-study for readers with an undergraduate-level understanding of real analysis and linear algebra. More than 750 exercises are included to help the reader test their understanding. Key background material is summarized in the Preliminaries.
優惠價: 9 2222
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Industrial Internet of Things: Technologies, Design, and Applications
90 折
出版日:2022/01/10 作者:Sudan Jha(EDI)  出版社:CRC PR INC  裝訂:精裝
Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers develop predictive models through AI/ML algorithms by writing their own computer code or usin
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Optimization Algorithms for Distributed Machine Learning
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出版日:2023/12/10 作者:Gauri Joshi  出版社:Springer Nature  裝訂:平裝
優惠價: 1 2899
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出版日:2023/09/12 作者:Max Cerf  出版社:EDP Sciences  裝訂:平裝
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出版日:2023/07/31 出版社:MDPI AG  裝訂:精裝
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出版日:2023/05/04 作者:S. Sasikala  出版社:APPLE ACADEMIC PR  裝訂:精裝
This new volume addresses the growing interest in and use of big data analytics in many industries and in many research fields around the globe; it is a comprehensive resource on the core concepts of big data analytics and the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches.The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents
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出版日:2023/03/03 作者:Venkata Rao Ravipudi  出版社:Springer Nature  裝訂:平裝
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Graphs, Algorithms, and Optimization
90 折
出版日:2023/01/09 作者:William Kocay  出版社:CRC PR INC  裝訂:平裝
優惠價: 9 3401
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出版日:2022/12/13 作者:David Xianfeng Gu; Emil Saucan  出版社:PBKTYFRL  裝訂:精裝
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Optimization Algorithms for Large-Scale Machine Learning
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出版日:2022/11/30 作者:Gauri Joshi  出版社:Springer Nature  裝訂:精裝
優惠價: 1 2899
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Energy optimization algorithms for wireless sensor networks
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出版日:2022/11/07 作者:Jayekumar M  出版社:GUANG DONG REN MIN CHU BAN SHE  裝訂:平裝
優惠價: 1 1330
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Mathematical Aspects of Deep Learning
90 折
出版日:2022/10/31 作者:Philipp Grohs  出版社:Cambridge Univ Pr  裝訂:精裝
In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves as both a starting point for researchers and graduate students in mathematics trying to get into the field, as well as an invaluable reference for future research.
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The Predictive Power of Computational Astrophysics as a Discovery Tool (IAU S362)
90 折
出版日:2022/09/30 作者:Dmitry Bisikalo  出版社:Cambridge Univ Pr  裝訂:精裝
A new paradigm for scientific discovery through computational tools now permeates every aspect of astronomical research. Computational astrophysics combines modern computational methods, novel hardware designs, advanced algorithms, original software implementations, and associated technologies to discover new phenomena and to make predictions in astronomy. The proceedings of IAU Symposium 362 summarizes ongoing developments in computational astrophysics through astronomers in diverse fields sharing their knowledge and approaches. It focuses on computational methods applied to speed up and broaden the scope of scientific studies, such as finding trends in observational data, high performance computing, automated search algorithms, and model predictability. Experts discuss a palette of challenging informational and technical developments, with the goal of coordinating their efforts and the improvement of techniques in pursuit of a wide range of astronomical studies, including fluid dynam
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Electric Machines:Theory and Analysis Using the Finite Element Method
90 折
出版日:2022/08/31 作者:Dionysios Aliprantis  出版社:Cambridge Univ Pr  裝訂:精裝
Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin
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Economic Dynamics, second edition
79 折
出版日:2022/08/16 作者:John Stachurski  出版社:Mit Pr  裝訂:平裝
The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems.This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field.New for the second edition:“Programming-language agnostic” presentation using pseudocode.New chapter 1 covering
優惠價: 79 2252
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Probabilistic Numerics:Computation as Machine Learning
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出版日:2022/06/30 作者:Philipp Hennig  出版社:Cambridge Univ Pr  裝訂:精裝
Probabilistic numerical computation formalises the connection between machine learning and applied mathematics. Numerical algorithms approximate intractable quantities from computable ones. They estimate integrals from evaluations of the integrand, or the path of a dynamical system described by differential equations from evaluations of the vector field. In other words, they infer a latent quantity from data. This book shows that it is thus formally possible to think of computational routines as learning machines, and to use the notion of Bayesian inference to build more flexible, efficient, or customised algorithms for computation. The text caters for Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. Extensive background material is provided along with a wealth of figures, worked examples, and exercises (with solutions) to develop intuition.
優惠價: 9 3217
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Mathematical Pictures at a Data Science Exhibition
90 折
出版日:2022/04/30 作者:Simon Foucart  出版社:Cambridge Univ Pr  裝訂:精裝
This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice
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The Digital Closet
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出版日:2022/04/12 作者:Alexander Monea  出版社:Mit Pr  裝訂:精裝
An exploration of how heteronormative bias is deeply embedded in the internet, hidden in algorithms, keywords, content moderation, and more.In The Digital Closet, Alexander Monea argues provocatively that the Internet became straight by suppressing everything that is not, forcing LGBTQ+ content into increasingly narrow channels―rendering it invisible through opaque algorithms, automated and human content moderation, warped keywords, and other strategies of digital overreach. Monea explains how the United States’ thirty-year “war on porn” has brought about the over-regulation of sexual content, which, in turn, has resulted in the censorship of much nonpornographic content―including material on sex education and LGBTQ+ activism. In this wide-ranging, enlightening account, Monea examines the cultural, technological, and political conditions that put LGBTQ content into the closet. Monea looks at the anti-porn activism of the alt-right, Christian conservatives, and anti-porn feminists, who
優惠價: 79 899
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出版日:2022/04/02 作者:Venkata Rao Ravipudi  出版社:Springer Nature  裝訂:精裝
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