Cust Applied Mechanical Design
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Cust Applied Mechanical Design
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Author : Briozzo Hosking
language : en
Publisher:
Release Date : 2015-07-02
Cust Applied Mechanical Design written by Briozzo Hosking and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-02 with Engineering design categories.
Customer Oriented Product Design
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Author : Cengiz Kahraman
language : en
Publisher: Springer Nature
Release Date : 2020-03-19
Customer Oriented Product Design written by Cengiz Kahraman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-19 with Technology & Engineering categories.
This book offers a comprehensive reference guide to customer-oriented product design and intelligence. It provides readers with the necessary intelligent tools for designing customer-oriented products in contexts characterized by incomplete information or insufficient data, where classical product design approaches cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including fuzzy QFD, fuzzy FMEA, the fuzzy Kano model, fuzzy axiomatic design, fuzzy heuristics-based design, conjoint analysis-based design, and many others. To foster reader comprehension, all chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers, and postgraduate students pursuing research on customer-oriented product design. Moreover, by extending all the main aspects of classical customer-oriented product design to its intelligent and fuzzy counterparts, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments.
Fcs Applied Engineering Technology L4
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Author :
language : en
Publisher: Pearson South Africa
Release Date : 2009
Fcs Applied Engineering Technology L4 written by and has been published by Pearson South Africa this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Mechanical Engineering And Green Manufacturing Ii
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Author : Shao Bo Zhong
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2012-02-27
Mechanical Engineering And Green Manufacturing Ii written by Shao Bo Zhong and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-27 with Technology & Engineering categories.
Selected, peer reviewed papers from the 2nd International Conference on Mechanical Engineering and Green Manufacturing (MEGM 2012), March 16-18, 2012, Chongqing, China
Applied Machine Learning For Data Science Practitioners
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Author : Vidya Subramanian
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-01
Applied Machine Learning For Data Science Practitioners written by Vidya Subramanian and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-01 with Mathematics categories.
A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML). Applied Machine Learning for Data Science Practitioners offers a practical, step-by-step guide to building end-to-end ML solutions for real-world business challenges, empowering data science practitioners to make informed decisions and select the right techniques for any use case. Unlike many data science books that focus on popular algorithms and coding, this book takes a holistic approach. It equips you with the knowledge to evaluate a range of techniques and algorithms. The book balances theoretical concepts with practical examples to illustrate key concepts, derive insights, and demonstrate applications. In addition to code snippets and reviewing output, the book provides guidance on interpreting results. This book is an essential resource if you are looking to elevate your understanding of ML and your technical capabilities, combining theoretical and practical coding examples. A basic understanding of using data to solve business problems, high school-level math and statistics, and basic Python coding skills are assumed. Written by a recognized data science expert, Applied Machine Learning for Data Science Practitioners covers essential topics, including: Data Science Fundamentals that provide you with an overview of core concepts, laying the foundation for understanding ML. Data Preparation covers the process of framing ML problems and preparing data and features for modeling. ML Problem Solving introduces you to a range of ML algorithms, including Regression, Classification, Ranking, Clustering, Patterns, Time Series, and Anomaly Detection. Model Optimization explores frameworks, decision trees, and ensemble methods to enhance performance and guide the selection of the most effective model. ML Ethics addresses ethical considerations, including fairness, accountability, transparency, and ethics. Model Deployment and Monitoring focuses on production deployment, performance monitoring, and adapting to model drift.
Experimental And Applied Mechanics Volume 6
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Author : Nancy Sottos
language : en
Publisher: Springer
Release Date : 2014-08-02
Experimental And Applied Mechanics Volume 6 written by Nancy Sottos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-02 with Science categories.
Experimental and Applied Mechanics, Volume 6: Proceedings of the 2014 Annual Conference on Experimental and Applied Mechanics, the sixth volume of eight from the Conference, brings together contributions to important areas of research and engineering. The collection presents early findings and case studies on a wide range of topics, including: Advances in Residual Stress Measurement Methods Residual Stress Effects on Material Performance Inverse Problems and Hybrid Techniques Thermoelastic Stress Analysis Infrared Techniques Research in Progress Applications in Experimental Mechanics
Mechanical Design Engineering Handbook
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Author : Peter Childs
language : en
Publisher: Butterworth-Heinemann
Release Date : 2018-11-24
Mechanical Design Engineering Handbook written by Peter Childs and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-24 with Technology & Engineering categories.
Mechanical Design Engineering Handbook, Second Edition, is a straight-talking and forward-thinking reference covering the design, specification, selection, use and integration of the machine elements that are fundamental to a wide range of engineering applications. This updated edition includes new material on tolerancing, alternative approaches to design, and robotics, as well as references to the latest ISO and US engineering regulations. Sections cover bearings, shafts, gears, seals, belts and chains, clutches and brakes, springs, fasteners, pneumatics and hydraulics, amongst other core mechanical elements. This practical handbook is an ideal shelf reference for those working in mechanical design across a variety of industries. In addition, it is also a valuable learning resource for advanced students undertaking engineering design modules and projects as part of broader mechanical, aerospace, automotive and manufacturing programs. - Presents a clear, concise text that explains key component technology, with step-by-step procedures, fully worked design scenarios, component images and cross-sectional line drawings - Provides essential data, equations and interactive ancillaries, including calculation spreadsheets, to inform decision-making, design evaluation and incorporation of components into overall designs - Includes procedures and methods that are covered to national and international standards where appropriate - New to this edition: flow-charts to help select technology; Failure Mode Effects Analysis (FMEA), product, service and system design models, Functional Analysis Diagrams (FADs), Design for Excellence (DFX), Design for MADE, and the process of remanufacture
Applied Mechanics Reviews
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Author :
language : en
Publisher:
Release Date : 1970
Applied Mechanics Reviews written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Mechanics, Applied categories.
Custom Contact Molded Reinforced Polyester Chemical Resistant Process Equipment
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Author : United States. National Bureau of Standards
language : en
Publisher:
Release Date : 1969
Custom Contact Molded Reinforced Polyester Chemical Resistant Process Equipment written by United States. National Bureau of Standards and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Glass-reinforced plastics categories.
Applied Machine Learning With Scikit Learn
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-20
Applied Machine Learning With Scikit Learn written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Computers categories.
"Applied Machine Learning with Scikit-learn" "Applied Machine Learning with Scikit-learn" is a comprehensive and in-depth guide that empowers readers to build robust machine learning solutions using the popular Scikit-learn library. The book navigates through the complete lifecycle of machine learning projects, starting from the foundational architecture and integration of Scikit-learn within the broader PyData ecosystem, to advanced data preparation, feature engineering, and the design of custom components. Readers benefit from best practices in scalability, reproducibility, and extensibility, while gaining insights into contributing to and extending the library to suit cutting-edge applications. A core strength of this book is its rigorous treatment of both supervised and unsupervised learning techniques. It offers advanced coverage on classification and regression models—including linear methods, ensemble approaches, support vector machines, and probabilistic classifiers—while addressing practical challenges like imbalanced data, custom scoring, and evaluation strategies. The unsupervised learning chapters explore clustering, dimensionality reduction, density estimation, and feature discovery, complete with methodologies for model selection, validation, and interpretation. Specialized sections on experiment tracking, hyperparameter tuning, and prevention of data leakage ensure that readers can conduct reliable analyses in research or production settings. Recognizing the growing importance of model deployment, monitoring, and integration, the book dedicates ample attention to scaling workflows, building production-grade APIs, automating model retraining, and complying with security and privacy standards. Advanced topics guide practitioners through contemporary machine learning frontiers—such as AutoML, hybrid deep learning integration, time series analysis, weakly supervised learning, and graph-based models. By merging practical implementation advice with a deep understanding of the underlying principles, "Applied Machine Learning with Scikit-learn" serves as an invaluable reference for data scientists, engineers, and researchers striving to leverage the full potential of Scikit-learn in modern machine learning endeavors.