Coding theory design (68 résultats)
Edité par Chapman & Hall, 2003
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Langue : anglais
Edité par T&F India, 2025
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Ajouter au panierSoft cover. Etat : New. ISBN:9781032973067,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
Langue : anglais
Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1990
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hardcover. Etat : Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Langue : anglais
Edité par Chapman and Hall/CRC, Boca Raton, 2002
Série : Livre 3 sur 67 - Discrete Mathematics and Its Applications
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Etat : Good. 1st Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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paperback. Etat : New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2008-10-01 Pages: 215 Language: Chinese Publisher: Science Press Information Title : Road traffic sign design theory and method Price: 36.00 yuan Author : Wang Jianjun Publisher: Sci…ence Press Publication Date : 2008 -10-1ISBN: 9787030231628 words : 310000 Page: 215 Edition : 1 Binding: Paperback Folio: 16 product identification : A2 Editor no Summary The book is based on safety. environmental protection . comfort and harmony philosophy and the people-oriented. safety fir.Four Satisfaction guaranteed,or money back.
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Etat : New. pp. 396.
Langue : anglais
Edité par Vieweg+Teubner Verlag Auflage: 1994 (1. Januar 1994), 1994
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Vendeur : BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, AllemagneBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Softcover. Etat : gut. Auflage: 1994 (1. Januar 1994). Lattices and CodesA Course Partially Based on Lectures by F. Hirzebruch (Advanced lectures in mathematics) Wolfgang Ebeling Friedrich Hirzebruch Code Barcode Codierung Kode Barcode Gewinn Department of Mathematics Universität Hannover Even Unimodular Lattices and Codes - The…ta Functions and Weight Enumerators - Even Unimodular Lattices - The Leech Lattice - Lattices over Integers of Number Fields and Self-Dual Codes Über den Autor Prof. Dr. Wolfgang Ebeling, Department of Mathematics, Universität Hannover, Germany. This is the second revised edition of a textbook on coding theory. The purpose of coding theory is the design of efficient systems for the transmission of information. The mathematical treatment leads to certain finite structuresthe error-correcting codes. Surprisingly problems which are interesting for the design of codes turn out to be closely related to problems studied partly earlier and independently in pure mathematics. In this book, examples of such connections are presented. The relation between lattices studied in number theory and geometry and error-correcting codes is discussed. The book provides at the same time an introduction to the theory of integral lattices and modular forms and to coding theory. Beschreibung The purpose of coding theory is the design of efficient systems for the transmission of information. The mathematical treatment leads to certain finite structuresthe error-correcting codes. Surprisingly problems which are interesting for the design of codes turn out to be closely related to problems studied partly earlier and independently in pure mathematics. In this book, examples of such connections are presented. The relation between lattices studied in number theory and geometry and error-correcting codes is discussed. The book provides at the same time an introduction to the theory of integral lattices and modular forms and to coding theory. In the 2nd edition numerous corrections have been made. More basic material has been included to make the text even more self-contained. A new section on the automorphism group of the Leech lattice has been added. Some hints to new results have been incorporated. Finally, several new exercises have been added. From the contents - Lattices and Codes - Theta Functions and Weight Enumerators - Even Unimodular Lattices - The Leech Lattice - Lattices over Integers of Number Fields and Self-Dual Codes In englischer Sprache. 178 pages. 24,4 x 17 x 1,7 cm.
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Etat : Used. pp. 378 1st Edition.
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Etat : Used. pp. 378.
Langue : anglais
Edité par Taylor & Francis Group, 2003
Série : Livre 3 sur 67 - Discrete Mathematics and Its Applications
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Etat : New. pp. xii + 385 1st Edition.
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Paperback. Etat : Brand New. reprint edition. 391 pages. 9.25x6.10x0.90 inches. In Stock.
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Taschenbuch. Etat : Neu. Neuware - Crack the Machine Learning Interview - Part I is the essential starting point for anyone preparing for machine learning interviews seriously.If you've ever felt overwhelmed by the breadth of ML interview prep-math, statistics, algorithms, coding, system design, metrics, and modeling-this book h…elps you build the right foundation first.This volume focuses on the core knowledge every strong machine learning candidate needs before moving into advanced modeling, deep learning, or system design.This book is designed for: - Machine Learning Engineers- Data Scientists- Applied Scientists- Research Engineers- Software Engineers transitioning into MLRather than giving you shallow definitions or generic textbook summaries, this book teaches you how to think about machine learning concepts the way interviewers expect: clearly, practically, and under real interview conditions.Inside Part I, you'll build a strong base in: - how machine learning interviews really work- how to build an interview preparation strategy that matches your role and timeline- the mathematics that matter most for ML interviews- the statistics concepts that interviewers repeatedly test- machine learning fundamentals and generalization- linear regression and logistic regression- decision trees, random forests, and gradient boosting- support vector machines, k-nearest neighbors, Naive Bayes, PCA, and clusteringThis book is especially useful if you want to: - strengthen weak fundamentals before interview season- move from passive ML knowledge to interview-ready explanation- understand not just what an algorithm is, but when to use it, what its trade-offs are, and how to explain it well- avoid common mistakes candidates make when answering foundational ML questions- build a base solid enough for coding rounds, system design rounds, and real-world ML problem solvingUnlike many interview prep books that jump straight into memorization, this volume emphasizes clarity, reasoning, and practical understanding. Every major topic is framed in the context of how it appears in interviews and how strong candidates are expected to explain it.If you want to become the kind of candidate who sounds thoughtful, technically grounded, and genuinely prepared-not just someone who memorized answers-this is where to start.Start with the foundation. Build the depth. Crack the machine learning interview.
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Taschenbuch. Etat : Neu. Neuware - Crack the Machine Learning Interview - Part II takes you beyond the fundamentals and into the topics that separate average candidates from top-tier machine learning hires.If Part I builds your foundation, this volume helps you develop the depth, intuition, and technical strength needed to handl…e real interview challenges in modern ML roles.This book is designed for: - Machine Learning Engineers- Data Scientists- Applied Scientists- Deep Learning Engineers- Engineers preparing for advanced ML interview loopsIn Part II, you'll move into the core topics that frequently define mid-to-senior interview performance, including: - neural networks and backpropagation- training deep models effectively- optimization, regularization, and stability- CNNs, RNNs, and transformers- embeddings and representation learning- evaluation and metrics mastery- error analysis and debugging strategies- feature engineering and practical data workRather than treating these topics as abstract theory, this book teaches you how to think about them in the way interviewers expect: - how to explain deep learning concepts clearly- how to connect models to real-world use cases- how to reason about training failures and improvements- how to discuss trade-offs between models- how to demonstrate practical ML maturity under pressureThis book is especially useful if you want to: - move from basic ML knowledge to strong interview performance- confidently explain neural networks and deep learning concepts- understand optimization, regularization, and training behavior deeply- debug models and discuss failure modes like a real practitioner- handle follow-up questions in advanced ML interviewsUnlike many ML resources that focus only on definitions or code, this volume emphasizes clear thinking, strong intuition, and real interview communication.By the end of Part II, you will not just know deep learning-you will be able to explain it, defend your choices, and apply it under interview conditions.Go beyond fundamentals. Build real depth. Crack the machine learning interview.
Langue : anglais
Edité par Chapman and Hall/CRC, 2003
Série : Livre 3 sur 67 - Discrete Mathematics and Its Applications
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hardcover. Etat : New. In shrink wrap. Looks like an interesting title.
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Taschenbuch. Etat : Neu. Neuware - Crack the Machine Learning Interview - Part III is where theory becomes practice and candidates turn into real machine learning practitioners.After building your foundation and mastering advanced modeling, this volume focuses on the skills that truly differentiate strong ML candidates in real i…nterviews - debugging, evaluation, system design, and production thinking.This book is designed for: - Machine Learning Engineers- Data Scientists- Applied Scientists- Engineers preparing for system design and production-focused ML roles- Candidates targeting mid to senior-level interview loopsIn Part III, you will learn how to handle the types of questions that go beyond algorithms and directly reflect real-world ML work, including: - advanced evaluation metrics and trade-offs- error analysis and model debugging- feature engineering and data preprocessing in practice- experimentation and iterative model improvement- ML system design fundamentals- designing recommendation, ranking, and search systems- designing detection systems such as fraud and moderation- MLOps, deployment, and production reliabilityThis book helps you develop the mindset interviewers look for when they ask open-ended and practical machine learning questions: - how to think through ambiguous problems- how to debug models systematically- how to evaluate trade-offs in real-world systems- how to connect metrics to product outcomes- how to design scalable ML systems- how to explain decisions clearly under pressureThis volume is especially valuable if you want to: - move from theoretical knowledge to real ML reasoning- perform strongly in ML system design interviews- confidently answer open-ended and case-based questions- understand how models behave in production settings- show practical maturity during interviewsUnlike purely academic resources, this book focuses on how machine learning actually works in production and how interviewers expect you to reason about it.By the end of Part III, you will be able to think like a machine learning practitioner - not just someone who knows models, but someone who can design, debug, evaluate, and improve real systems.Think practically. Design intelligently. Crack the machine learning interview.
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This IMA Volume in Mathematics and its Applications Coding Theory and Design Theory Part II: Design Theory is based on the proceedings of a workshop which was an integral part of the 1987-88 IMA program on APPLIED COMBINATORICS. We are grateful to the…Scientific Committee: Victor Klee (Chairman), Daniel Kleitman, Dijen Ray-Chaudhuri and Dennis Stanton for planning and implementing an exciting and stimulating year long program. We especially thank the Workshop Organizer, Dijen Ray-Chaudhuri, for organizing a workshop which brought together many of the major figures in a variety of research fields in which coding theory and design theory are used. A vner Friedman Willard Miller, Jr. PREFACE Coding Theory and Design Theory are areas of Combinatorics which found rich applications of algebraic structures. Combinatorial designs are generalizations of finite geometries. Probably, the history of Design Theory begins with the 1847 pa per of Reverand T. P. Kirkman 'On a problem of Combinatorics', Cambridge and Dublin Math. Journal. The great Statistician R. A. Fisher reinvented the concept of combinatorial 2-design in the twentieth century. Extensive application of alge braic structures for construction of 2-designs (balanced incomplete block designs) can be found in RC. Bose's 1939 Annals of Eugenics paper, 'On the construction of balanced incomplete block designs'. Coding Theory and Design Theory are closely interconnected. Hamming codes can be found (in disguise) in RC. Bose's 1947 Sankhya paper 'Mathematical theory of the symmetrical factorial designs'.
Langue : anglais
Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1990
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Etat : New. pp. 256.
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Langue : anglais
Edité par Chapman and Hall/CRC, 2003
Série : Livre 3 sur 67 - Discrete Mathematics and Its Applications
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Coding Theory and Design Theory: Coding Theory (The Ima Volumes in Mathematics and Its Applications)
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Paperback. Etat : Brand New. reprint edition. 253 pages. 9.25x6.10x0.60 inches. In Stock.
