Lean Education: An Overview of Current Issues, Alves Anabela Carvalho, Flumerfelt Shannon, Kahlen Franz-Josef
Автор: Alves Название: Lean Education: An Overview of Current Issues ISBN: 3319458280 ISBN-13(EAN): 9783319458281 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited volume presents a structured approach to a new lean education curriculum, implemented for the education of engineers, managers, administrators as well as human resources developers. The authorship comprises professors and lecturers, trainers and practitioners who educate future professionals in Lean Thinking principles and tools. This edited book provides a platform for authors to share their efforts in building a Body of Knowledge (BoK) for Lean Education. The topical spectrum is state-of-the-art in this field, but the book also includes a glimpse into future developments. This is a highly informative and carefully presented book, providing valuable insight for scholars with an interest in Lean Education.
Автор: Anderson, Dale A. Название: Computational fluid mechanics and heat transfer / ISBN: 1591690374 ISBN-13(EAN): 9781591690375 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Нет в наличии.
Описание: Thoroughly updated to include the latest developments in the field, this classic text on finite-difference and finite-volume computational methods maintains the fundamental concepts covered in the first edition. As an introductory text for advanced undergraduates and first-year graduate students, Computational Fluid Mechanics and Heat Transfer, Third Edition provides the background necessary for solving complex problems in fluid mechanics and heat transfer. Divided into two parts, the book first lays the groundwork for the essential concepts preceding the fluids equations in the second part. It includes expanded coverage of turbulence and large-eddy simulation (LES) and additional material included on detached-eddy simulation (DES) and direct numerical simulation (DNS). Designed as a valuable resource for practitioners and students, new homework problems have been added to further enhance the student’s understanding of the fundamentals and applications.
Автор: Dow John Otto Название: Concise Overview of the Finite Element Method ISBN: 1606505084 ISBN-13(EAN): 9781606505083 Издательство: Mare Nostrum (Eurospan) Цена: 10026.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a straightforward introduction to the finite element method, error analysis, and adaptive refinement. It provides an easy-to-read overview that allows the contents of other finite element books and finite element courses to be seen in perspective as the various procedures are encountered. Furthermore, it provides developments that improve the procedures contained in the standard finite element textbook. As a result, when this book is used alone or in conjunction with other presentations, the reader is capable of critically assessing the capabilities of the finite element method.
Автор: Sharma, K.L.S. Название: Overview of Industrial Process Automation ISBN: 0323165389 ISBN-13(EAN): 9780323165389 Издательство: Elsevier Science Рейтинг: Цена: 9767.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Man-made or industrial processes, localised or geographically distributed, need be automated in order to ensure they produce quality, consistent, and cost-effective goods or services. Automation systems for these processes broadly consist of instrumentation, control, human interface, and communication subsystems. This book introduces the basics of philosophy, technology, terminology, and practices of modern automation systems with simple illustrations and examples.
Описание: Master the world of Python and Machine Learning with this incredible 4-in-1 bundle.
Are you interested in becoming a Python pro?
Do you want to learn more about the incredible world of machine learning, and what it can do for you? Then keep reading.
Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and Machine Learning, from basic code and mathematical formulas to complex neural networks and ensemble modeling. Inside, you'll discover everything you need to know to get started with Python and Machine Learning, and begin your journey to success
In book one - MACHINE LEARNING FOR BEGINNERS, you'll learn:
What is Artificial Intelligence Really, and Why is it So Powerful?
Choosing the Right Kind of Machine Learning Model for You
An Introduction to Statistics
Reinforcement Learning and Ensemble Modeling
"Random Forests" and Decision Trees
In book two - MACHINE LEARNING MATHEMATICS, you will:
Learn the Fundamental Concepts of Machine Learning Algorithms
Understand The Four Fundamental Types of Machine Learning Algorithm
Master the Concept of "Statistical Learning"
Learn Everything You Need to Know about Neural Networks and Data Pipelines
Master the Concept of "General Setting of Learning"
In book three - LEARNING PYTHON, you'll discover:
How to Install, Run, and Understand Python on Any Operating System
A Comprehensive Introduction to Python
Python Basics and Writing Code
Writing Loops, Conditional Statements, Exceptions and More
Python Expressions and The Beauty of Inheritances
And in book four - PYTHON MACHINE LEARNING, you will:
Learn the Fundamentals of Machine Learning
Master the Nuances of 12 of the Most Popular and Widely-Used Machine Learning Algorithms
Become Familiar with Data Science Technology
Dive Into the Functioning of Scikit-Learn Library and Develop Machine Learning Models
Uncover the Secrets of the Most Critical Aspect of Developing a Machine Learning Model - Data Pre-Processing and Training/Testing Subsets
Whether you're a complete beginner or a programmer looking to improve your skillset, this bundle is your all-in-one solution to mastering the world of Python and Machine Learning. So don't wait - it's never been easier to learn.
Buy Now to Become a Master of Python and Machine Learning Today
Описание: Master the world of Python and Machine Learning with this incredible 4-in-1 bundle. Are you interested in becoming a Python pro?Do you want to learn more about the incredible world of machine learning, and what it can do for you? Then keep reading.
Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and Machine Learning, from basic code and mathematical formulas to complex neural networks and ensemble modeling. Inside, you'll discover everything you need to know to get started with Python and Machine Learning, and begin your journey to success
In book one - MACHINE LEARNING FOR BEGINNERS, you'll learn:
What is Artificial Intelligence Really, and Why is it So Powerful?
Choosing the Right Kind of Machine Learning Model for You
An Introduction to Statistics
Reinforcement Learning and Ensemble Modeling
"Random Forests" and Decision Trees
In book two - MACHINE LEARNING MATHEMATICS, you will:
Learn the Fundamental Concepts of Machine Learning Algorithms
Understand The Four Fundamental Types of Machine Learning Algorithm
Master the Concept of "Statistical Learning"
Learn Everything You Need to Know about Neural Networks and Data Pipelines
Master the Concept of "General Setting of Learning"
In book three - LEARNING PYTHON, you'll discover:
How to Install, Run, and Understand Python on Any Operating System
A Comprehensive Introduction to Python
Python Basics and Writing Code
Writing Loops, Conditional Statements, Exceptions and More
Python Expressions and The Beauty of Inheritances
And in book four - PYTHON MACHINE LEARNING, you will:
Learn the Fundamentals of Machine Learning
Master the Nuances of 12 of the Most Popular and Widely-Used Machine Learning Algorithms
Become Familiar with Data Science Technology
Dive Into the Functioning of Scikit-Learn Library and Develop Machine Learning Models
Uncover the Secrets of the Most Critical Aspect of Developing a Machine Learning Model - Data Pre-Processing and Training/Testing Subsets
Whether you're a complete beginner or a programmer looking to improve your skillset, this bundle is your all-in-one solution to mastering the world of Python and Machine Learning. So don't wait - it's never been easier to learn.
Buy Now to Become a Master of Python and Machine Learning Today
Автор: Radzevich, Stephen P. (johnson Controls Inc., Mich Название: Theory of gearing ISBN: 1138585556 ISBN-13(EAN): 9781138585553 Издательство: Taylor&Francis Рейтинг: Цена: 36749.00 р. Наличие на складе: Нет в наличии.
Описание: Written by a leading expert, Theory of Gearing: Kinematics, Geometry, and Synthesis, Second Edition is intended for engineers and researchers in the field of gear design, gear production, gear inspection, and application of gears. It focuses on the scientific theory of gearing, in all its aspects, and its application to new gear types and designs.
Описание: This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent researchers in the field. Topics covered involve a range of LVM frameworks including item response theory, structural equation modeling, factor analysis, and latent curve modeling, as well as various non-standard data structures and innovative applications. The book is divided into two sections, although several chapters cross these content boundaries. Part one focuses on complexities which involve the adaptation of latent variables models in research problems where real-world conditions do not match conventional assumptions. Chapters in this section cover issues such as analysis of dyadic data and complex survey data, as well as analysis of categorical variables. Part two of the book focuses on drawing real-world meaning from results obtained in LVMs. In this section there are chapters examining issues involving assessment of model fit, the nature of uncertainty in parameter estimates, inferences, and the nature of latent variables and individual differences. This book appeals to researchers and graduate students interested in the theory and application of latent variable models. As such, it serves as a supplementary reading in graduate level courses on latent variable models. Prerequisites include basic knowledge of latent variable models.
Автор: Prakriti Kumar Ghosh Название: Pulse Current Gas Metal Arc Welding ISBN: 9811035563 ISBN-13(EAN): 9789811035562 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The contents of this book will prove useful to the shop floor welding engineer in handling this otherwise critical welding process with confidence. It will also serve to inspire researchers to think critically on more versatile applications of the unique nature of pulse current in GMAW process to develop cutting edge welding technology.
Автор: R. Belmans; K.J. Binns; W. Geysen; A. Vandenput Название: Vibrations and Audible Noise in Alternating Current Machines ISBN: 9401077673 ISBN-13(EAN): 9789401077675 Издательство: Springer Рейтинг: Цена: 49613.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Research Workshop on Mechanical Vibrations and Audible Noise in Alternating Current Machines, Leuven, Belgium, August 4-8, 1986
Автор: Michael C. Edwards, Robert C. MacCallum Название: Current Topics in the Theory and Application of Latent Variable Models ISBN: 1848729510 ISBN-13(EAN): 9781848729513 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent researchers in the field. Topics covered involve a range of LVM frameworks including item response theory, structural equation modeling, factor analysis, and latent curve modeling, as well as various non-standard data structures and innovative applications. The book is divided into two sections, although several chapters cross these content boundaries. Part one focuses on complexities which involve the adaptation of latent variables models in research problems where real-world conditions do not match conventional assumptions. Chapters in this section cover issues such as analysis of dyadic data and complex survey data, as well as analysis of categorical variables. Part two of the book focuses on drawing real-world meaning from results obtained in LVMs. In this section there are chapters examining issues involving assessment of model fit, the nature of uncertainty in parameter estimates, inferences, and the nature of latent variables and individual differences. This book appeals to researchers and graduate students interested in the theory and application of latent variable models. As such, it serves as a supplementary reading in graduate level courses on latent variable models. Prerequisites include basic knowledge of latent variable models.
Автор: Sava Rene Название: Current Advances in Mechanical Engineering ISBN: 1682855708 ISBN-13(EAN): 9781682855706 Издательство: Неизвестно Рейтинг: Цена: 24140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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