David Hoyle – författare
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From the best-selling quality management author, David Hoyle, Quality Management Essentials is the perfect brief, yet authoritative, introduction to the fundamentals of quality management. Quality in organizations, large or small, is achieved with intelligent use of various concepts, principles, tools and techniques. For those coming to the subject for the first time, these philosophies associated with quality management can be quite overwhelming. This very readable book provides a fast track introduction and executive level appraisal of the field from a respected and experienced author.
727 kr
Läs direkt efter köp
From the best-selling quality management author, David Hoyle, Quality Management Essentials is the perfect brief, yet authoritative, introduction to the fundamentals of quality management. Quality in organizations, large or small, is achieved with intelligent use of various concepts, principles, tools and techniques. For those coming to the subject for the first time, these philosophies associated with quality management can be quite overwhelming. This very readable book provides a fast track introduction and executive level appraisal of the field from a respected and experienced author.
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Completely revised to align with ISO 9001:2015, this handbook has been the bible for users of ISO 9001 since 1994, helping organizations get certified and increase the quality of their outputs.
Whether you are an experienced professional, a novice, or a quality management student or researcher, this is a crucial addition to your bookshelf. The various ways in which requirements are interpreted and applied are discussed using published definitions, reasoned arguments and practical examples. Packed with insights into how the standard has been used, misused and misunderstood, ISO 9000 Quality Systems Handbook will help you to decide if ISO 9001 certification is right for your company and will gently guide you through the terminology, requirements and implementation of practices to enhance performance.
Matched to the revised structure of the 2015 standard, with clause numbers included for ease of reference, the book also includes:
Graphics and text boxes to illustrate concepts, and points of contention;
Explanations between the differences of the 2008 and 2015 versions of ISO 9001;
Examples of misconceptions, inconsistencies and other anomalies;
Solutions provided for manufacturing and service sectors.
This new edition includes substantially more guidance for students, instructors and managers in the service sector, as well as those working with small businesses.
Don’t waste time trying to achieve certification without this tried and trusted guide to improving your business – let David Hoyle lead you towards a better way of thinking about quality and its management and see the difference it can make to your processes and profits!
1 229 kr
Läs direkt efter köp
Completely revised to align with ISO 9001:2015, this handbook has been the bible for users of ISO 9001 since 1994, helping organizations get certified and increase the quality of their outputs.
Whether you are an experienced professional, a novice, or a quality management student or researcher, this is a crucial addition to your bookshelf. The various ways in which requirements are interpreted and applied are discussed using published definitions, reasoned arguments and practical examples. Packed with insights into how the standard has been used, misused and misunderstood, ISO 9000 Quality Systems Handbook will help you to decide if ISO 9001 certification is right for your company and will gently guide you through the terminology, requirements and implementation of practices to enhance performance.
Matched to the revised structure of the 2015 standard, with clause numbers included for ease of reference, the book also includes:
Graphics and text boxes to illustrate concepts, and points of contention;
Explanations between the differences of the 2008 and 2015 versions of ISO 9001;
Examples of misconceptions, inconsistencies and other anomalies;
Solutions provided for manufacturing and service sectors.
This new edition includes substantially more guidance for students, instructors and managers in the service sector, as well as those working with small businesses.
Don’t waste time trying to achieve certification without this tried and trusted guide to improving your business – let David Hoyle lead you towards a better way of thinking about quality and its management and see the difference it can make to your processes and profits!
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Create more effective and powerful data science solutions by learning when, where, and how to apply key math principles that drive most data science algorithms
Key Features
Understand key data science algorithms with Python-based examplesIncrease the impact of your data science solutions by learning how to apply existing algorithmsTake your data science solutions to the next level by learning how to create new algorithmsPurchase of the print or Kindle book includes a free PDF eBookBook Description
Data science combines the power of data with the rigor of scientific methodology, with mathematics providing the tools and frameworks for analysis, algorithm development, and deriving insights. As machine learning algorithms become increasingly complex, a solid grounding in math is crucial for data scientists. David Hoyle, with over 30 years of experience in statistical and mathematical modeling, brings unparalleled industrial expertise to this book, drawing from his work in building predictive models for the world''s largest retailers. Encompassing 15 crucial concepts, this book covers a spectrum of mathematical techniques to help you understand a vast range of data science algorithms and applications. Starting with essential foundational concepts, such as random variables and probability distributions, you’ll learn why data varies, and explore matrices and linear algebra to transform that data. Building upon this foundation, the book spans general intermediate concepts, such as model complexity and network analysis, as well as advanced concepts such as kernel-based learning and information theory. Each concept is illustrated with Python code snippets demonstrating their practical application to solve problems.By the end of the book, you’ll have the confidence to apply key mathematical concepts to your data science challenges.What you will learn
Master foundational concepts that underpin all data science applicationsUse advanced techniques to elevate your data science proficiencyApply data science concepts to solve real-world data science challengesImplement the NumPy, SciPy, and scikit-learn concepts in PythonBuild predictive machine learning models with mathematical conceptsGain expertise in Bayesian non-parametric methods for advanced probabilistic modelingAcquire mathematical skills tailored for time-series and network data typesWho this book is for
This book is for data scientists, machine learning engineers, and data analysts who already use data science tools and libraries but want to learn more about the underlying math. Whether you’re looking to build upon the math you already know, or need insights into when and how to adopt tools and libraries to your data science problem, this book is for you. Organized into essential, general, and selected concepts, this book is for both practitioners just starting out on their data science journey and experienced data scientists.
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