The Workshops Advanced Method

Download or read book The Workshop's Advanced Method written by and published by Alfred Music Publishing. This book was released on with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advanced Mathematical Tools In Metrology - Proceedings Of The International Workshop written by Nicola Bellomo and published by World Scientific. This book was released on 1994-05-18 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume will interest researchers and others involved with high-precision measurements and the development of mathematical tools for this purpose. Advances in metrology depend on improvements in scientific and technical knowledge, the quality of instruments, a better use of advanced mathematical tools and the development of new ones.A tradition of close cooperation between metrologists and mathematicians, while found elsewhere, is lacking in Italy. This workshop wishes to start such a cooperation by providing a common meeting ground. Several industrial sectors, particularly those of instrumentation and software, are likely to benefit from this process, since metrology has a high impact on the overall quality of industrial products and applied mathematics is becoming increasingly important in industrial processes.

Download or read book Advanced Information Systems Engineering Workshops written by Camille Salinesi and published by Springer. This book was released on 2011-06-17 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of ten international workshops held in London, UK, in conjunction with the 23rd International Conference on Advanced Information Systems Engineering, CAiSE 2011, in June 2011. The 59 revised papers were carefully selected from 139 submissions. The ten workshops included Business/IT Alignment and Interoperability (BUSITAL), Conceptualization of Modelling Methods (CMM), Domain Specific Engineering (DsE@CAiSE), Governance, Risk and Compliance (GRCIS), Integration of IS Engineering Tools (INISET), System and Software Architectures (IWSSA), Ontology-Driven Information Systems Engineering (ODISE), Ontology, Models, Conceptualization and Epistemology in Social, Artificial and Natural Systems (ONTOSE), Semantic Search (SSW), and Information Systems Security Engineering (WISSE).

Download or read book Advanced Information Systems Engineering Workshops written by Raimundas Matulevičius and published by Springer. This book was released on 2018-06-04 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of six international workshops held in Tallinn, Estonia, in conjunction with the 30th International Conference on Advanced Information Systems Engineering, CAiSE 2018, in June 2018. These workshops were: – The 5th Workshop on Advances in Services DEsign based on the Notion of Capability (ASDENCA) – The 1st Workshop on Business Data Analytics: Techniques and Applications (BDA) – The 1st Workshop on Blockchains for Inter-Organizational Collaboration (BIOC) – The 6thWorkshop on Cognitive Aspects of Information Systems Engineering (COGNISE) – The 2nd Workshop on Enterprise Modeling – The 1st Workshop on Flexible Advanced Information Systems (FAiSE) Two more workshops decided to produce their own, independent proceedings. The 22 full papers presented here were carefully reviewed and selected from a total of 49 submissions.

Download or read book Advanced Information Systems Engineering Workshops written by Henderik A. Proper and published by Springer. This book was released on 2019-05-23 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of three international workshops held in Rome, Italy, in June 2019, associated with the 31st International Conference on Advanced Information Systems Engineering, CAiSE 2019. These workshops were: COGNISE, The 7th International Workshop on Cognitive Aspects of Information Systems Engineering KET4DF, First International Workshop on Key Enabling Technologies for Digital Factories BIOC&FAISE, Joint Workshop on Blockchains for Inter-Organizational Collaboration and Felxible Advanced Information Systems The total of 19 papers presented in this volume were carefully reviewed and selected from 39 submissions.

Download or read book 15th European Workshop on Advanced Control and Diagnosis (ACD 2019) written by Elena Zattoni and published by Springer Nature. This book was released on 2022-06-13 with total page 1441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, published in two volumes, embodies the proceedings of the 15th European Workshop on Advanced Control and Diagnosis (ACD 2019) held in Bologna, Italy, in November 2019. It features contributed and invited papers from academics and professionals specializing in an important aspect of control and automation. The book discusses current theoretical research developments and open problems and illustrates practical applications and industrial priorities. With a focus on both theory and applications, it spans a wide variety of up-to-date topics in the field of systems and control, including robust control, adaptive control, fault-tolerant control, control reconfiguration, and model-based diagnosis of linear, nonlinear and hybrid systems. As the subject coverage has expanded to include cyber-physical production systems, industrial internet of things and sustainability issues, some contributions are of an interdisciplinary nature, involving ICT disciplines and environmental sciences. This book is a valuable reference for both academics and professionals in the area of systems and control, with a focus on advanced control, automation, fault diagnosis and condition monitoring.

Download or read book The The Data Science Workshop written by Anthony So and published by Packt Publishing Ltd. This book was released on 2020-08-28 with total page 823 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain expert guidance on how to successfully develop machine learning models in Python and build your own unique data platforms Key FeaturesGain a full understanding of the model production and deployment processBuild your first machine learning model in just five minutes and get a hands-on machine learning experienceUnderstand how to deal with common challenges in data science projectsBook Description Where there’s data, there’s insight. With so much data being generated, there is immense scope to extract meaningful information that’ll boost business productivity and profitability. By learning to convert raw data into game-changing insights, you’ll open new career paths and opportunities. The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. You’ll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, you’ll get hands-on with approaches such as grid search and random search. Next, you’ll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. You’ll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch. By the end of this book, you’ll have the skills to start working on data science projects confidently. By the end of this book, you’ll have the skills to start working on data science projects confidently. What you will learnExplore the key differences between supervised learning and unsupervised learningManipulate and analyze data using scikit-learn and pandas librariesUnderstand key concepts such as regression, classification, and clusteringDiscover advanced techniques to improve the accuracy of your modelUnderstand how to speed up the process of adding new featuresSimplify your machine learning workflow for productionWho this book is for This is one of the most useful data science books for aspiring data analysts, data scientists, database engineers, and business analysts. It is aimed at those who want to kick-start their careers in data science by quickly learning data science techniques without going through all the mathematics behind machine learning algorithms. Basic knowledge of the Python programming language will help you easily grasp the concepts explained in this book.