Algorithms

90 折

3961.

Principles of Enterprise Law

出版日：2022/04/30 作者：Ewan McGaughey 出版社：Cambridge Univ Pr 裝訂：精裝

Major enterprises shape our lives in countless ways: big tech and 'surveillance media' that affect democratic debate, algorithms that influence online shopping, transport to work and home, energy and agriculture corporations that drive climate damage, and public services that provide our education, health, water, and housing. The twentieth century experienced swings between private and public ownership, between capitalism and socialism, without any settled, principled outcome, and without settling major questions of how enterprises should be financed, governed and the rights we have in them. This book's main question is 'are there principles of enterprise law', and, if they are missing, 'what principles of enterprise law should there be'? Principles of Enterprise Law gives a functional account of the 'general' enterprise laws of companies, investment, labour, competition and insolvency, before moving into specific enterprises, from universities to the military. It is an original guide

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Cryptography and Cryptanalysis in Java: Creating and Programming Advanced Algorithms with Java SE 17 LTS and Jakarta EE 10

滿額折

3962.

Cryptography and Cryptanalysis in Java: Creating and Programming Advanced Algorithms with Java SE 17 LTS and Jakarta EE 10

出版日：2022/04/30 作者：Stefania Loredana Nita 出版社：Apress 裝訂：平裝

優惠價： 1 2029

無庫存

3963.

Differential Equations with Mathematica

出版日：2022/03/07 作者：Martha L. Abell 出版社：ACADEMIC PR INC 裝訂：平裝

Differential Equations with Mathematica, Fifth Edition uses the fundamental concepts of the popular platform to solve (analytically, numerically, and/or graphically) differential equations of interest to students, instructors, and scientists. Mathematica's diversity makes it particularly well suited to performing calculations encountered when solving many ordinary and partial differential equations. In some cases, Mathematica's built-in functions can immediately solve a differential equation by providing an explicit, implicit, or numerical solution. In other cases, Mathematica can be used to perform the calculations encountered when solving a differential equation. Because one goal of elementary differential equations courses is to introduce students to basic methods and algorithms so that they gain proficiency in them, nearly every topic covered this book introduces basic commands, also including typical examples of their application. A study of differential equations relies on concep

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Introduction to Modeling Cognitive Processes

79 折

3964.

Introduction to Modeling Cognitive Processes

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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Nonlinear Valuation and Non-Gaussian Risks in Finance

90 折

3965.

Nonlinear Valuation and Non-Gaussian Risks in Finance

出版日：2022/01/31 作者：Dilip B. Madan 出版社：Cambridge Univ Pr 裝訂：精裝

What happens to risk as the economic horizon goes to zero and risk is seen as an exposure to a change in state that may occur instantaneously at any time? All activities that have been undertaken statically at a fixed finite horizon can now be reconsidered dynamically at a zero time horizon, with arrival rates at the core of the modeling. This book, aimed at practitioners and researchers in financial risk, delivers the theoretical framework and various applications of the newly established dynamic conic finance theory. The result is a nonlinear non-Gaussian valuation framework for risk management in finance. Risk-free assets disappear and low risk portfolios must pay for their risk reduction with negative expected returns. Hedges may be constructed to enhance value by exploiting risk interactions. Dynamic trading mechanisms are synthesized by machine learning algorithms. Optimal exposures are designed for option positioning simultaneously across all strikes and maturities.

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Artificial Intelligence for Healthcare Applications and Management

90 折

3966.

Artificial Intelligence for Healthcare Applications and Management

出版日：2022/01/01 作者：Boris Galitsky 出版社：ACADEMIC PR INC 裝訂：平裝

Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVI

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3967.

Oxford Handbook of Clinical Surgery (IE)

出版日：2022/01/01 作者：McLatchie 出版社：OXFORD 裝訂：平裝

The fifth edition of this bestselling Oxford Medical Handbook is now even better than ever, with the inclusion of three new chapters on day case surgery, remote and rural surgery, and emergency surgery. It has been thoroughly revised with the latest guidelines, management algorithms, and guidance on decision-making.Now with the editorial team expanded to include four new associate editors, this new edition provides an accessible pocketreference for surgical trainees, medical students, and all those involved in the care of the surgical patient. It is thoroughly comprehensive, without sacrificing the clear, concise, and quick-referencestyle the Oxford Medical Handbooks are known for. It provides surgically relevant anatomy and physiology, quick reference symbols, key diagrams, and a focus on evidence-based practice with key references throughout. This essential guide will ensure you have the information you need at your fingertips.

優惠價： 1 1452

無庫存

滿額折

3968.

計算流體力學基礎算法（簡體書）

出版日：2021/12/13 作者：(美)托馬斯‧H.普利亞姆; (加)大衛‧W.辛格 出版社：科學出版社 裝訂：平裝

《計算流體力學基礎算法》譯自Springer出版的Fundamental Algorithms in Computational Fluid Dynamics一書。《計算流體力學基礎算法》介紹了在計算流體力學中已發展成熟而又應用廣泛的基礎算法，包括流體力學的基本原理、基本方程和實用化的技術，例如，有限差分法和隱式近似分解、廣義曲線坐標系變換、人工耗散和穩定性、基於顯式多階時間推進和多重網格的有限體

優惠價： 87 512

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Fundamentals of Classical and Modern Error-Correcting Codes

90 折

3969.

Fundamentals of Classical and Modern Error-Correcting Codes

出版日：2021/11/30 作者：Shu Lin 出版社：Cambridge Univ Pr 裝訂：精裝

Using easy-to-follow mathematics, this textbook provides comprehensive coverage of block codes and techniques for reliable communications and data storage. It covers major code designs and constructions from geometric, algebraic, and graph-theoretic points of view, decoding algorithms, error control additive white Gaussian noise (AWGN) and erasure, and dataless recovery. It simplifies a highly mathematical subject to a level that can be understood and applied with a minimum background in mathematics, provides step-by-step explanation of all covered topics, both fundamental and advanced, and includes plenty of practical illustrative examples to assist understanding. Numerous homework problems are included to strengthen student comprehension of new and abstract concepts, and a solutions manual is available online for instructors. Modern developments, including polar codes, are also covered. An essential textbook for senior undergraduates and graduates taking introductory coding courses,

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Yinggelishi: Jonathan Stalling’s Interlanguage Art

滿額折

3970.

Yinggelishi: Jonathan Stalling’s Interlanguage Art

出版日：2021/11/21 作者：Jonathan Stalling; edited by Chen Wang 出版社：香港大學出版社 裝訂：精裝

Jonathan Stalling’s experimental approach to bridging art, poetics, and linguistics imagines a world where individual value systems are no longer translated into the language of other mediums, but foster conscious “interlanguages.” Stalling writes, “Meeting in the middle, ‘interlanguages’ are spaces where one learns a new language without having left one’s home fully behind; these situations can result in richly generative interlingual and intercultural estuaries which provide new ways of imagining.” Stalling’s conceptual language art fuses Classical Chinese poetics and linguistics with modern algorithms to create art installations and poetry that transform Chinese into English and English into Chinese in new and surprising ways.With a visual gallery of Stalling’s work, an interview with the artist, a critical introduction by the editor, and critical chapters written by the comparative literature scholar Timothy Billings and Chinese Linguist Liu Nian, the volume provides readers with a

優惠價： 79 1248

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Web App Development and Real-Time Web Analytics with Python: Develop and Integrate Machine Learning Algorithms into Web Apps

滿額折

3971.

Web App Development and Real-Time Web Analytics with Python: Develop and Integrate Machine Learning Algorithms into Web Apps

出版日：2021/11/20 作者：Tshepo Chris Nokeri 出版社：Apress 裝訂：平裝

優惠價： 1 2609

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Spaces of Measures and their Applications to Structured Population Models

90 折

3972.

Spaces of Measures and their Applications to Structured Population Models

出版日：2021/10/31 作者：Christian Düll 出版社：Cambridge Univ Pr 裝訂：精裝

Structured population models are transport-type equations often applied to describe evolution of heterogeneous populations of biological cells, animals or humans, including phenomena such as crowd dynamics or pedestrian flows. This book introduces the mathematical underpinnings of these applications, providing a comprehensive analytical framework for structured population models in spaces of Radon measures. The unified approach allows for the study of transport processes on structures that are not vector spaces (such as traffic flow on graphs) and enables the analysis of the numerical algorithms used in applications. Presenting a coherent account of over a decade of research in the area, the text includes appendices outlining the necessary background material and discusses current trends in the theory, enabling graduate students to jump quickly into research.

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3973.

Wireless Algorithms, Systems, and Applications: 16th International Conference, Wasa 2021, Nanjing, China, June 25-27, 2021, Proceedings, Part II

出版日：2021/10/08 作者：Zhe Liu(EDI) 出版社：Springer Nature 裝訂：平裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

3974.

Wireless Algorithms, Systems, and Applications: 16th International Conference, Wasa 2021, Nanjing, China, June 25-27, 2021, Proceedings, Part III

出版日：2021/10/08 作者：Zhe Liu(EDI) 出版社：Springer Nature 裝訂：平裝

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3975.

Wireless Algorithms, Systems, and Applications: 16th International Conference, Wasa 2021, Nanjing, China, June 25-27, 2021, Proceedings, Part I

出版日：2021/10/08 作者：Zhe Liu(EDI) 出版社：Springer Nature 裝訂：平裝

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Introduction to Java Programming and Data Structures, Comprehensive Version [Global Edition]

滿額折

3976.

Introduction to Java Programming and Data Structures, Comprehensive Version [Global Edition]

出版日：2021/10/05 作者：Y. Liang 出版社：Pearson Education Limited 裝訂：平裝

For courses in Java Programming. A fundamentals-first introduction to basic programming concepts andtechniques Introduction to Java Programming and Data Structures seamlessly integrates programming, data structures,and algorithms into one text. With a fundamentals-first approach, the textbuilds a strong foundation of basic programming concepts and techniques beforeteaching students object-oriented programming and advanced Java programming.Liang explains programming in a problem-driven way that focuses on problemsolving rather than syntax, illustrating basic concepts by example andproviding a large number of exercises with various levels of difficulty forstudents to practice.The 12th Edition is completely revised in everydetail to enhance clarity, presentation, content, examples, and exercises.

優惠價： 1 3299

無庫存

滿額折

3977.

算法帝國（簡體書）

出版日：2021/10/01 作者：(美)克里斯多夫‧斯坦納 出版社：人民郵電出版社 裝訂：平裝

今天，演算法涉足的領域已經遠遠超出了其創造者的預期。特別是進入資訊時代以後，演算法的應用涵蓋金融、醫療、法律、體育、娛樂、外交、文化、國家安全等諸多方面，顯現出源於人類而又超乎人類的強大威力。《演算法帝國》是《紐約時報》暢銷書作者斯坦納的又一力作，通過一個又一個引人入勝的故事，向讀者介紹了演算法掌控世界的真實情況，揭示了“機器人革命”是如何悄然在我們身邊發生的。《演算法帝國》適合所有對科技史、資訊革命、演算法原理、資料分析感興趣的讀者閱讀參考。

優惠價： 87 312

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Artificial Intelligence and International Economic Law：Disruption, Regulation, and Reconfiguration

90 折

3978.

Artificial Intelligence and International Economic Law：Disruption, Regulation, and Reconfiguration

出版日：2021/09/30 作者：Shin-yi Peng 出版社：Cambridge Univ Pr 裝訂：精裝

Artificial intelligence (AI) technologies are transforming economies, societies, and geopolitics. Enabled by the exponential increase of data that is collected, transmitted, and processed transnationally, these changes have important implications for international economic law (IEL). This volume examines the dynamic interplay between AI and IEL by addressing an array of critical new questions, including: How to conceptualize, categorize, and analyze AI for purposes of IEL? How is AI affecting established concepts and rubrics of IEL? Is there a need to reconfigure IEL, and if so, how? Contributors also respond to other cross-cutting issues, including digital inequality, data protection, algorithms and ethics, the regulation of AI-use cases (autonomous vehicles), and systemic shifts in e-commerce (digital trade) and industrial production (fourth industrial revolution). This title is also available as Open Access on Cambridge Core.

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3979.

Machine Learning Fundamentals：A Concise Introduction

出版日：2021/09/30 作者：Hui Jiang 出版社：Cambridge Univ Pr 裝訂：平裝

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

優惠價： 1 1280

無庫存

90 折

3980.

Machine Learning Fundamentals：A Concise Introduction

出版日：2021/09/30 作者：Hui Jiang 出版社：Cambridge Univ Pr 裝訂：精裝

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

滿額折

3981.

Modern Dimension Reduction

出版日：2021/07/31 作者：Philip D. Waggoner 出版社：Cambridge Univ Pr 裝訂：平裝

Data are not only ubiquitous in society, but are increasingly complex both in size and dimensionality. Dimension reduction offers researchers and scholars the ability to make such complex, high dimensional data spaces simpler and more manageable. This Element offers readers a suite of modern unsupervised dimension reduction techniques along with hundreds of lines of R code, to efficiently represent the original high dimensional data space in a simplified, lower dimensional subspace. Launching from the earliest dimension reduction technique principal components analysis and using real social science data, I introduce and walk readers through application of the following techniques: locally linear embedding, t-distributed stochastic neighbor embedding (t-SNE), uniform manifold approximation and projection, self-organizing maps, and deep autoencoders. The result is a well-stocked toolbox of unsupervised algorithms for tackling the complexities of high dimensional data so common in modern

優惠價： 9 995

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Machine Learning for Beginners: A Comprehensive Guide to Artificial Intelligence and Data Science. Master Deep Learning, Python, Algorithms and Its Ap

滿額折

3982.

Machine Learning for Beginners: A Comprehensive Guide to Artificial Intelligence and Data Science. Master Deep Learning, Python, Algorithms and Its Ap

出版日：2021/07/04 作者：Tim Matthes 出版社：Lightning Source Inc 裝訂：平裝

優惠價： 1 912

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Computer Age Statistical Inference, Student Edition

滿額折

3983.

Computer Age Statistical Inference, Student Edition

出版日：2021/06/30 作者：Bradley Efron 出版社：Cambridge Univ Pr 裝訂：平裝

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes wit

優惠價： 9 1754

無庫存

90 折

3984.

Introduction to Linear Algebra

出版日：2021/05/31 作者：Gilbert Strang 出版社：Cambridge Univ Pr 裝訂：精裝

Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains the quality of earlier editions while at the same time seeing numerous minor improvements and major additions. The latter include: a new chapter on singular values and singular vectors, including ways to analyze a matrix of data; a revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages; a new section on linear algebra and cryptography; and a new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (e.g. practice problems, exams, development of textbook examples), plus codes in MATLAB, Julia, and Python.

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A First Course in Statistical Programming with R

滿額折

3985.

A First Course in Statistical Programming with R

出版日：2021/05/31 作者：W. John Braun 出版社：Cambridge Univ Pr 裝訂：平裝

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data

優惠價： 9 2047

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A Unified Computational Fluid Dynamics Framework from Rarefied to Continuum Regime

90 折

3986.

A Unified Computational Fluid Dynamics Framework from Rarefied to Continuum Regime

出版日：2021/05/31 作者：Kun Xu 出版社：Cambridge Univ Pr 裝訂：平裝

This Element presents a unified computational fluid dynamics framework from rarefied to continuum regimes. The framework is based on the direct modelling of flow physics in a discretized space. The mesh size and time step are used as modelling scales in the construction of discretized governing equations. With the variation-of-cell Knudsen number, continuous modelling equations in different regimes have been obtained, and the Boltzmann and Navier-Stokes equations become two limiting equations in the kinetic and hydrodynamic scales. The unified algorithms include the discrete velocity method (DVM)–based unified gas-kinetic scheme (UGKS), the particlebased unified gas-kinetic particle method (UGKP), and the wave and particle–based unified gas-kinetic wave-particle method (UGKWP). The UGKWP is a multi-scale method with the particle for non-equilibrium transport and wave for equilibrium evolution. The particle dynamics in the rarefied regime and the hydrodynamic flow solver in the continuu

優惠價： 9 972

無庫存

90 折

3987.

Networked Microgrids

出版日：2021/05/31 作者：Peng Zhang 出版社：Cambridge Univ Pr 裝訂：精裝

Discover scalable, dependable, and intelligent solutions to the challenges of integrating complex networked microgrids with this definitive guide to the development of cutting-edge power and data systems. Includes advanced fault management control and optimization to enable enhanced microgrid penetration without compromising reliability. Features SDN-based architectures and techniques to enable secure, reliable and fault-tolerant algorithms for resilient networked systems. Provides reachability techniques to facilitate a deeper understanding of microgrid resilience in areas with high penetration of renewables. Combining resilient control, fast programmable networking, reachability analysis, and cyber-physical security, this is essential reading for researchers, professional engineers, and graduate students interested in creating the next generation of data-intensive self-configurable networked microgrid systems, smart communities, and smart infrastructure.

優惠價： 9 3293

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Python Machine Learning: A Beginner's Guide to Python Programming for Machine Learning and Deep Learning, Data Analysis, Algorithms and Data Sc

滿額折

3988.

Python Machine Learning: A Beginner's Guide to Python Programming for Machine Learning and Deep Learning, Data Analysis, Algorithms and Data Sc

出版日：2021/05/07 作者：Zach Codings 出版社：Lightning Source Inc 裝訂：精裝

優惠價： 1 1406

無庫存

Bayesian Data Analysis for the Behavioral and Neural Sciences：Non-Calculus Fundamentals

滿額折

3989.

Bayesian Data Analysis for the Behavioral and Neural Sciences：Non-Calculus Fundamentals

出版日：2021/04/30 作者：Todd E. Hudson 出版社：Cambridge Univ Pr 裝訂：平裝

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond “frequentist” concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called “hypothesis testing”) problems most frequently encountered in real-world applications.

優惠價： 9 2924

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Advanced Optimization for Process Systems Engineering

90 折

3990.

Advanced Optimization for Process Systems Engineering

出版日：2021/04/30 作者：Ignacio E. Grossmann 出版社：Cambridge Univ Pr 裝訂：精裝

Based on the author's forty years of teaching experience, this unique textbook covers both basic and advanced concepts of optimization theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed-integer and generalized disjunctive programming), optimization under uncertainty (stochastic programming and flexibility analysis), and decomposition techniques (Lagrangean and Benders decomposition). Assuming only a basic background in calculus and linear algebra, it enables easy understanding of mathematical reasoning, and numerous examples throughout illustrate key concepts and algorithms. End-of-chapter exercises involving theoretical derivations and small numerical problems, as well as in modeling systems like GAMS, enhance understanding and help put knowledge into practice. Accompanied by two appendices containing web links to modeling systems and models related to applications in PSE, this is an essential

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

90 折

3991.

Bayesian Data Analysis for the Behavioral and Neural Sciences：Non-Calculus Fundamentals

出版日：2021/04/30 作者：Todd E. Hudson 出版社：Cambridge Univ Pr 裝訂：精裝

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond “frequentist” concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called “hypothesis testing”) problems most frequently encountered in real-world applications.

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

Predictive Analysis with Python: The Ultimate Guide to Learn Machine Learning Algorithms, Data Mining, Artificial Intelligence, and Neural Network wit

滿額折

3992.

Predictive Analysis with Python: The Ultimate Guide to Learn Machine Learning Algorithms, Data Mining, Artificial Intelligence, and Neural Network wit

出版日：2021/04/22 作者：Albert Torres 出版社：Lightning Source Inc 裝訂：精裝

優惠價： 1 1404

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Social Media Marketing Algorithms- Tiktok & Twitch: The $100,000/ Year Business Plan- Grow Your TikTok & Twitch Audiences & Create Passive Income Doin

滿額折

3993.

Social Media Marketing Algorithms- Tiktok & Twitch: The $100,000/ Year Business Plan- Grow Your TikTok & Twitch Audiences & Create Passive Income Doin

出版日：2021/04/22 作者：Brandon's Business Guides 出版社：Lightning Source Inc 裝訂：平裝

優惠價： 1 607

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Trading Strategies: A Life-Changing Guide To Trade With Algorithms And Profit In Any Market Conditions With Cutting Edge Technical Analysi

滿額折

3994.

Trading Strategies: A Life-Changing Guide To Trade With Algorithms And Profit In Any Market Conditions With Cutting Edge Technical Analysi

出版日：2021/04/17 作者：Jacob Elder 出版社：Lightning Source Inc 裝訂：平裝

優惠價： 1 948

無庫存

滿額折

3995.

Trading Strategies: A Life-Changing Guide To Trade With Algorithms And Profit In Any Market Conditions With Cutting Edge Technical Analysi

出版日：2021/04/17 作者：Jacob Elder 出版社：Lightning Source Inc 裝訂：精裝

優惠價： 1 1404

無庫存

Deep Learning with Python: Learn Best Practices of Deep Learning Models with Pytorch

滿額折

3996.

Deep Learning with Python: Learn Best Practices of Deep Learning Models with Pytorch

出版日：2021/04/14 作者：Nikhil Ketkar 出版社：Apress 裝訂：平裝

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook's Artificial Intelligence Research Group.You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms. You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models

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Abstract Algebra：A Comprehensive Introduction

90 折

3997.

Abstract Algebra：A Comprehensive Introduction

出版日：2021/03/31 作者：John W. Lawrence 出版社：Cambridge Univ Pr 裝訂：精裝

Through this book, upper undergraduate mathematics majors will master a challenging yet rewarding subject, and approach advanced studies in algebra, number theory and geometry with confidence. Groups, rings and fields are covered in depth with a strong emphasis on irreducible polynomials, a fresh approach to modules and linear algebra, a fresh take on Gröbner theory, and a group theoretic treatment of Rejewski's deciphering of the Enigma machine. It includes a detailed treatment of the basics on finite groups, including Sylow theory and the structure of finite abelian groups. Galois theory and its applications to polynomial equations and geometric constructions are treated in depth. Those interested in computations will appreciate the novel treatment of division algorithms. This rigorous text 'gets to the point', focusing on concisely demonstrating the concept at hand, taking a 'definitions first, examples next' approach. Exercises reinforce the main ideas of the text and encourage stu

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3998.

Network Embedding: Theories, Methods, and Applications

出版日：2021/03/25 作者：Cheng Yang 出版社：Morgan & Claypool 裝訂：平裝

Many machine learning algorithms require real-valued feature vectors of data instances as inputs. By projecting data into vector spaces, representation learning techniques have achieved promising performance in many areas such as computer vision and natural language processing. There is also a need to learn representations for discrete relational data, namely networks or graphs. Network Embedding (NE) aims at learning vector representations for each node or vertex in a network to encode the topologic structure. Due to its convincing performance and efficiency, NE has been widely applied in many network applications such as node classification and link prediction.This book provides a comprehensive introduction to the basic concepts, models, and applications of network representation learning (NRL). The book starts with an introduction to the background and rising of network embeddings as a general overview for readers. Then it introduces the development of NE techniques by presenting se

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A Guide to Monte Carlo Simulations in Statistical Physics

90 折

3999.

A Guide to Monte Carlo Simulations in Statistical Physics

出版日：2021/02/28 作者：David Landau 出版社：Cambridge Univ Pr 裝訂：精裝

Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.

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90 折

4000.

Biological and Computer Vision

出版日：2021/01/31 作者：Gabriel Kreiman 出版社：Cambridge Univ Pr 裝訂：精裝

Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

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