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The Silhouette Solution
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Book Synopsis The Silhouette Solution by : Brenda Cooper
Download or read book The Silhouette Solution written by Brenda Cooper and published by Clarkson Potter. This book was released on 2022-02-08 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A radically simple and universally flattering system for getting dressed, from the Emmy Award–winning stylist who turned Fran Drescher of The Nanny into a fashion icon “Brenda’s capsule wardrobe system is a lifesaver. I will never look at my clothes the same way again!”—Fran Drescher, star and co-creator of The Nanny Using your existing clothes plus a splash of something new, The Silhouette Solution provides a method that transforms how you’ll view your wardrobe, your style, and ultimately, yourself. With just four tops, four bottoms, and a few pairs of shoes, Brenda Cooper shows you how to create the foundation for a fabulously functional wardrobe. Regardless of your age, size, body type, or budget, you’ll have a set of modern, versatile, mix-and-match pieces that work for every occasion of your life. Learn how to effortlessly: • Coordinate comfortable, stylish outfits • Discover your true style ID • Accept your body with loving kindness • Reinvent your wardrobe • Know exactly what to shop for • And enjoy a newfound fashion freedom With The Silhouette Solution’s strategy, you’ll get out the door in a fraction of the time, feeling beautiful and at home in your body. That kind of empowerment is always in style!
Book Synopsis The Silhouette Solution by : Brenda Cooper
Download or read book The Silhouette Solution written by Brenda Cooper and published by Clarkson Potter. This book was released on 2022-02-08 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A radically simple and universally flattering system for getting dressed, from the Emmy Award–winning stylist who turned Fran Drescher of The Nanny into a fashion icon “Brenda’s capsule wardrobe system is a lifesaver. I will never look at my clothes the same way again!”—Fran Drescher, star and co-creator of The Nanny Using your existing clothes plus a splash of something new, The Silhouette Solution provides a method that transforms how you’ll view your wardrobe, your style, and ultimately, yourself. With just four tops, four bottoms, and a few pairs of shoes, Brenda Cooper shows you how to create the foundation for a fabulously functional wardrobe. Regardless of your age, size, body type, or budget, you’ll have a set of modern, versatile, mix-and-match pieces that work for every occasion of your life. Learn how to effortlessly: • Coordinate comfortable, stylish outfits • Discover your true style ID • Accept your body with loving kindness • Reinvent your wardrobe • Know exactly what to shop for • And enjoy a newfound fashion freedom With The Silhouette Solution’s strategy, you’ll get out the door in a fraction of the time, feeling beautiful and at home in your body. That kind of empowerment is always in style!
Book Synopsis A General Solution to the Silhouette Problem by : David R. Hedgley
Download or read book A General Solution to the Silhouette Problem written by David R. Hedgley and published by . This book was released on 1987 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Science for Mathematicians by : Nathan Carter
Download or read book Data Science for Mathematicians written by Nathan Carter and published by CRC Press. This book was released on 2020-09-15 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. Gaining such power and the ability to teach has reinvigorated the careers of mathematicians. This handbook will assist mathematicians to better understand the opportunities presented by data science. As it applies to the curriculum, research, and career opportunities, data science is a fast-growing field. Contributors from both academics and industry present their views on these opportunities and how to advantage them.
Book Synopsis Parallel Problem Solving from Nature – PPSN XVII by : Günter Rudolph
Download or read book Parallel Problem Solving from Nature – PPSN XVII written by Günter Rudolph and published by Springer Nature. This book was released on 2022-08-15 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022. The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.
Book Synopsis Text Mining with Machine Learning by : Jan Žižka
Download or read book Text Mining with Machine Learning written by Jan Žižka and published by CRC Press. This book was released on 2019-10-31 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various data sets, conclusions which are not normally evident, emerge and can be used for various purposes and applications. The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning algorithms. The book is not only aimed at IT specialists, but is meant for a wider audience that needs to process big sets of text documents and has basic knowledge of the subject, e.g. e-mail service providers, online shoppers, librarians, etc. The book starts with an introduction to text-based natural language data processing and its goals and problems. It focuses on machine learning, presenting various algorithms with their use and possibilities, and reviews the positives and negatives. Beginning with the initial data pre-processing, a reader can follow the steps provided in the R-language including the subsuming of various available plug-ins into the resulting software tool. A big advantage is that R also contains many libraries implementing machine learning algorithms, so a reader can concentrate on the principal target without the need to implement the details of the algorithms her- or himself. To make sense of the results, the book also provides explanations of the algorithms, which supports the final evaluation and interpretation of the results. The examples are demonstrated using realworld data from commonly accessible Internet sources.
Book Synopsis Multi-Objective Machine Learning by : Yaochu Jin
Download or read book Multi-Objective Machine Learning written by Yaochu Jin and published by Springer Science & Business Media. This book was released on 2007-06-10 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, increasing interest has been shown in applying the concept of Pareto-optimality to machine learning, particularly inspired by the successful developments in evolutionary multi-objective optimization. It has been shown that the multi-objective approach to machine learning is particularly successful to improve the performance of the traditional single objective machine learning methods, to generate highly diverse multiple Pareto-optimal models for constructing ensembles models and, and to achieve a desired trade-off between accuracy and interpretability of neural networks or fuzzy systems. This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems.
Download or read book NASA Technical Paper written by and published by . This book was released on 1987 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis NASA Technical Paper by : United States. National Aeronautics and Space Administration
Download or read book NASA Technical Paper written by United States. National Aeronautics and Space Administration and published by . This book was released on 1987 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multi-Objective Optimization by : Jyotsna K. Mandal
Download or read book Multi-Objective Optimization written by Jyotsna K. Mandal and published by Springer. This book was released on 2018-08-18 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems.
Book Synopsis Computational Collective Intelligence by : Ngoc Thanh Nguyen
Download or read book Computational Collective Intelligence written by Ngoc Thanh Nguyen and published by Springer Nature. This book was released on with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Mixture Analysis by : Sylvia Fruhwirth-Schnatter
Download or read book Handbook of Mixture Analysis written by Sylvia Fruhwirth-Schnatter and published by CRC Press. This book was released on 2019-01-04 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time. The Handbook of Mixture Analysis is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy. Features: Provides a comprehensive overview of the methods and applications of mixture modelling and analysis Divided into three parts: Foundations and Methods; Mixture Modelling and Extensions; and Selected Applications Contains many worked examples using real data, together with computational implementation, to illustrate the methods described Includes contributions from the leading researchers in the field The Handbook of Mixture Analysis is targeted at graduate students and young researchers new to the field. It will also be an important reference for anyone working in this field, whether they are developing new methodology, or applying the models to real scientific problems.
Book Synopsis Intelligent and Transformative Production in Pandemic Times by : Chin-Yin Huang
Download or read book Intelligent and Transformative Production in Pandemic Times written by Chin-Yin Huang and published by Springer Nature. This book was released on 2023-02-02 with total page 874 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceeding of the 26th International Conference on Production Research (ICPR). ICPR is a biennial conference that has been hosted for more than a half century. It is regarded worldwide as one of the leading conferences of production research, industrial engineering, and related subjects. The acute impact of the pandemic on human lives is spurring further research and advances: because modern life relies on production and supply networks. The future of production calls for transformative research exploiting the possibilities of artificial intelligence in particular to respond to the challenge of sustainability. This book is of interest to researchers, students, and professionals in industry.
Book Synopsis Modelling Identities by : Catalin Nicolae Popa
Download or read book Modelling Identities written by Catalin Nicolae Popa and published by Springer. This book was released on 2018-05-26 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume investigates the construction of group identity in Late La Tène South-East Europe using an innovative statistical modelling method. Death and burial theory underlies the potential of mortuary practices for identity research. The sample used for this volumes's research consists of 370 graves, organized in a specially crated database that records funerary ritual; and grave-good information. In the case of grave-goods, this involved found hierarchically organized categorical variables, which serve to describe each item by combining functional and typological features. The volume also aims to show the compatibility of archaeological theory and statistical modelling. The discussions from archaeological theory rarely find methodological implementations through statistical methods. In this volume, theoretical issues form an integrative part of data preparation, method development and result interpretation.
Book Synopsis Data Analytics for the Social Sciences by : G. David Garson
Download or read book Data Analytics for the Social Sciences written by G. David Garson and published by Routledge. This book was released on 2021-11-30 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.
Book Synopsis Computational Intelligence Systems in Industrial Engineering by : Cengiz Kahraman
Download or read book Computational Intelligence Systems in Industrial Engineering written by Cengiz Kahraman and published by Springer Science & Business Media. This book was released on 2012-11-05 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc. This book will include most of the application areas of industrial engineering through these computational intelligence systems. In the literature, there is no book including many real and practical applications of Computational Intelligence Systems from the point of view of Industrial Engineering. Every chapter will include explanatory and didactic applications. It is aimed that the book will be a main source for MSc and PhD students.
Book Synopsis Visual Linguistics with R by : Christoph Rühlemann
Download or read book Visual Linguistics with R written by Christoph Rühlemann and published by John Benjamins Publishing Company. This book was released on 2020-07-15 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a textbook on R, a programming language and environment for statistical analysis and visualization. Its primary aim is to introduce R as a research instrument in quantitative Interactional Linguistics. Focusing on visualization in R, the book presents original case studies on conversational talk-in-interaction based on corpus data and explains in good detail how key graphs in the case studies were programmed in R. It also includes task sections to enable readers to conduct their own research and compute their own visualizations in R. Both the code underlying the key graphs in the case studies and the datasets used in the case studies as well as in the task sections are made available on the book’s companion website.
