Coding Theory Design Part (19 results)

Condition: 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.…

Condition: 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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Taschenbuch. Condition: 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 helps 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. …

PF. Condition: New.

Condition: New. In English.

Condition: Used. pp. 378 1st Edition.

Condition: Used. pp. 378.

Paperback. Condition: Brand New. reprint edition. 391 pages. 9.25x6.10x0.90 inches. In Stock.

Condition: Used. pp. 378.

Taschenbuch. Condition: 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'.…

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Deutsch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condition: New. In English.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This IMA Volume in Mathematics and its Applications Coding Theory and Design Theory Part I: Coding 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 R. C. 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 R. C. Bose's 1947 Sankhya paper 'Mathematical theory of the symmetrical factorial designs'.…

Condition: New. Print on Demand.

Condition: New. Print on Demand.