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Download or read book Sustainability in the Textile and Apparel Industries written by Subramanian Senthilkannan Muthu and published by Springer. This book was released on 2020-04-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is part of a five-volume set that explores sustainability in textile industry practices globally. Case studies are provided that cover the theoretical and practical implications of sustainable textile issues, including environmental footprints of textile manufacturing, consumer behavior, eco-design in clothing and apparels, supply chain sustainability, the chemistry of textile manufacturing, waste management and textile economics. The set will be of interest to researchers, engineers, industrialists, R&D managers and students working in textile chemistry, economics, materials science, and sustainable consumption and production. This volume discusses novel trends and concepts in sustainable textile design, including innovative topics such as doodling and upcycling in clothing and apparel design for sustainable fashion initiatives. Along with strategies for repurposing fashion sustainability, the book also covers university interventions for the development of proper and environmentally friendly design practices. Specific technologies addressed include UV applications, laser treatments for dyeing, refined surface design techniques for products such as leather.
Download or read book Machine Learning with PySpark written by Pramod Singh and published by Apress. This book was released on 2018-12-14 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and recommender systems using PySpark. Machine Learning with PySpark shows you how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forest. You’ll also see unsupervised machine learning models such as K-means and hierarchical clustering. A major portion of the book focuses on feature engineering to create useful features with PySpark to train the machine learning models. The natural language processing section covers text processing, text mining, and embedding for classification. After reading this book, you will understand how to use PySpark’s machine learning library to build and train various machine learning models. Additionally you’ll become comfortable with related PySpark components, such as data ingestion, data processing, and data analysis, that you can use to develop data-driven intelligent applications. What You Will LearnBuild a spectrum of supervised and unsupervised machine learning algorithms Implement machine learning algorithms with Spark MLlib libraries Develop a recommender system with Spark MLlib libraries Handle issues related to feature engineering, class balance, bias and variance, and cross validation for building an optimal fit model Who This Book Is For Data science and machine learning professionals.
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Download or read book Principles of Data Science written by Hamid R. Arabnia and published by Springer Nature. This book was released on 2020-07-08 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists’ preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts Provides a detailed explanation of data science perceptions, reinforced by practical examples Presents a road map of future trends suitable for innovative data science research and practice
Download or read book India s Wars written by Arjun Subramaniam and published by Naval Institute Press. This book was released on 2017-09-15 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: India’s armed forces play a key role in protecting the country and occupy a special place in the Indian people’s hearts, yet standard accounts of contemporary Indian history rarely have a military dimension. In India’s Wars, serving Air Vice Marshal Arjun Subramaniam seeks to rectify that oversight by giving India’s military exploits their rightful place in history. Subramaniam begins India’s Wars with a frank call to reinvigorate the study of military history as part of Indian history more generally. Part II surveys the development of the India’s army, navy, and air force from the early years of the modern era to 1971. In Parts III and IV, Subramaniam considers conflicts from 1947 to 1962 as well as conflicts with China in 1962 and Pakistan in 1965 and 1971. Part V concludes by assessing these conflicts through the lens of India’s ancient strategist, Kautilya, who is revered in India as much as Sun Tzu is in China. Not merely a wide-ranging historical narrative of India’s military performance in battle, India’s Wars also offers a strategic, operational, and human perspective on the wars fought by independent India’s armed forces. Subramaniam highlights possible ways to improve the synergy between the three services, and argues in favor of the declassification of historical material pertaining to national security. The author also examines the overall state of civil-military relations in India, leadership within the Indian armed forces, as well as training, capability building, and other vitally important issues of concern to citizens, the government, and the armed forces. This objective and critical analysis provides policy cues for the reinvigoration of the armed forces as a critical tool of statecraft and diplomacy. Readers will come away from India’s Wars with a greater understanding of the international environment of war and conflict in modern India. Laced with veterans’ intense experiences in combat operations, and deeply researched and passionately written, it unfolds with surprising ease and offers a fresh perspective on independent India’s history.
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