Book

The General Model of Working Capital Management

  • Auteur: Rodrigo Zeidan
  • ISBN: 978-981-19-3334-9
  • Categorie: Livre
  • Maison Edition: Palgrave Macmillan
  • Ville Edition:
  • Année Edition: 2022
  • Domaine: Management

This book integrates Working Capital Management, Trade Credit, and Supply-Chain Finance in a comprehensive framework, illustrated by dozens of case studies, including a leading case which explains how improved working capital practices have led to over U$1 billion in savings for a large company. The General Model of Working Capital Management consolidates the aspects of these subjects spread across different disciplines, such as finance, accounting, operations, marketing, and more. It includes enough material to make the book accessible to a broad audience, from introductory undergraduate courses to business executives. Offering managerial lessons to optimize companies’ cash flow, case studies run the whole gamut, from the small business owner who cried in an executive class when realizing how bad working capital management almost destroyed his business to the significance of Amazon's and Tesco's negative cash conversion cycle for their expansion. Formal models include the relationship between market power and value extraction through changes in payment terms for consumers and suppliers, in-kind finance, and trade credit with asymmetric competing retailers. The book also explores how just-in-time strategies developed under capital constraints to limit working capital investments; they are more than the search for production efficiency. Finally, the chapter about the greening of supply chains describes how companies that can extract resources from their supply chain or act as trade credit lenders have a crucial role in mitigating climate change.

Book

Data Mining and Machine Learning: Fundamental Concepts and Algorithms

  • Auteur: Mohammed J. Zaki, Wagner Meira Jr
  • ISBN: 978-1-108-47398-9
  • Categorie: Livre
  • Maison Edition: Cambrige University Press
  • Ville Edition: New York
  • Année Edition: 2020
  • Domaine: Sciences de données

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.

Book

Data Mining and Analysis: Foundations and Algorithms

  • Auteur: Mohammed J. Zaki and WAGNER MEIRA
  • ISBN: 978-0-521-76633-3
  • Categorie: Livre
  • Maison Edition: Cambrige University Press
  • Ville Edition: New York
  • Année Edition: 2014
  • Domaine: Sciences de données

The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics. The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification. The book lays the basic foundations of these tasks, and also covers cutting-edge topics such as kernel methods, high-dimensional data analysis, and complex graphs and networks. With its comprehensive coverage, algorithmic perspective, and wealth of examples, this book offers solid guidance in data mining for students, researchers, and practitioners alike. Key features: ??? Covers both core methods and cutting-edge research ??? Algorithmic approach with open-source implementations ??? Minimal prerequisites: all key mathematical concepts are presented, as is the intuition behind the formulas ??? Short, self-contained chapters with class-tested examples and exercises allow for flexibility in designing a course and for easy reference ??? Supplementary website with lecture slides, videos, project ideas, and more.

Book

Atlas of pediatric physical diagnosis

  • Auteur: Basil J. Zitelli, Holly W. Davis
  • ISBN: 978-0-323-04878-1
  • Categorie: Livre
  • Maison Edition: Mosby
  • Ville Edition: -
  • Année Edition: 2007
  • Domaine: Sciences de la santé

This book was envisioned by teachers and was developed to aid students, residents, nurses, and practitioners who care for children in the recognition and diagnosis of pediatric disorders Our goal is to broaden the visual experience of the student and the clinician through rapid visual examination or review of simple laboratory tests and imaging studies.

Book

Programmation python

  • Auteur: Tarek Ziadé
  • ISBN: 2-212-11677-2
  • Categorie: Livre
  • Maison Edition: Eyrolles
  • Ville Edition: Paris
  • Année Edition: 2006
  • Domaine: Programmation Python

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