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!
Download or read book Navigating Through Autism written by David Macallan and published by Publishingworks. This book was released on 2008-09-01 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: A helpful guide for parents dealing with Autistic children
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:
Download or read book Enter Whining written by Fran Drescher and published by HarperEntertainment. This book was released on 1997-02-12 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Known and loved by millions around the world as the star of the top-rated CBS TV series The Nanny, Fran Drescher tells her hilarious life story and offers a fresh, funny, and irreverent backstage look at Hollywood and its stars. "The unsinkable kid from Queens isn't a whiner, she's a winner." --People The #l New York Times bestseller. Fran Drescher's unique comic talent, trademark New York accent, and brash persona have made her the queen of prime time, and the only successor to TV's last great sitcom queen, Roseanne. For fans of bestsellers by such comedians as Jerry Seinfeld, Tim Allen, Paul Reiser, and Ellen DeGeneres. Illustrated with black and white photos throughout.
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.
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.
Download or read book Multi Objective Machine Learning written by Yaochu Jin and published by Springer Science & Business Media. This book was released on 2006-02-10 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 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:
Download or read book NASA Technical Paper written by and published by . This book was released on 1987 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 318 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.
Download or read book Data Science for Mathematicians written by Nathan Carter and published by CRC Press. This book was released on 2020-09-16 with total page 498 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.
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.
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.
Download or read book Nina Garcia s Look Book written by Nina Garcia and published by Hachette Books. This book was released on 2010-08-10 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: "We must all listen to Nina Garcia. Sharp and genuine, her advice can make or break an outfit." -- Tim Gunn, Fashion Consultant and Mentor of Project Runway "Believe me-there's pressure when you're deciding what to wear to a meeting with an iconic fashion designer or a member of the press. It can be terrifying. But instead of panicking, I stop, take a deep breath, and remember that I speak "fashion." And by the time you have read this book, you'll be able to speak the language of fashion too, at all the key moments of your life." -- from Nina Garcia's Look Book Every woman, at one time or another, has contemplated an all-important job interview, first date, formal party, or important presentation and wailed to herself and to her closest girlfriends, "What should I wear" In Nina Garcia's Look Book, style guru Nina Garcia solves this universal quandary with an inspired and unbeatable combination of fashion knowledge and common sense. She shows us the pieces, the accessories, and the strategies to create the looks that will take us from the first day on a job through the day we ask for a raise and beyond, from the first time we meet our boyfriend's parents (or his children) through the day we see our own children walk down the aisle. With Nina by your side, you can't go wrong. You'll have all the tips you will need to navigate every day looking your best. True style is not about having a closet full of expensive and beautiful things-it is instead about knowing when, where, and how to utilize what you have.
Download or read book MATLAB for Machine Learning written by Giuseppe Ciaburro and published by Packt Publishing Ltd. This book was released on 2024-01-30 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applications Key Features Work with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithms Evaluate, deploy, and operationalize your custom models, incorporating bias detection and pipeline monitoring Uncover effective approaches to deep learning for computer vision, time series analysis, and forecasting Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDiscover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications. By navigating the versatile machine learning tools in the MATLAB environment, you’ll learn how to seamlessly interact with the workspace. You’ll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you’ll explore various classification and regression techniques, skillfully applying them with MATLAB functions. This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You’ll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you’ll leverage MATLAB tools for deep learning and managing convolutional neural networks. By the end of the book, you’ll be able to put it all together by applying major machine learning algorithms in real-world scenarios.What you will learn Discover different ways to transform data into valuable insights Explore the different types of regression techniques Grasp the basics of classification through Naive Bayes and decision trees Use clustering to group data based on similarity measures Perform data fitting, pattern recognition, and cluster analysis Implement feature selection and extraction for dimensionality reduction Harness MATLAB tools for deep learning exploration Who this book is for This book is for ML engineers, data scientists, DL engineers, and CV/NLP engineers who want to use MATLAB for machine learning and deep learning. A fundamental understanding of programming concepts is necessary to get started.
Download or read book Computer Vision ECCV 2006 written by Aleš Leonardis and published by Springer. This book was released on 2006-07-25 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set comprising LNCS volumes 3951/3952/3953/3954 constitutes the refereed proceedings of the 9th European Conference on Computer Vision, ECCV 2006, held in Graz, Austria, in May 2006. The 192 revised papers presented were carefully reviewed and selected from a total of 811 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, statistical models and visual learning, 3D reconstruction and multi-view geometry, energy minimization, tracking and motion, segmentation, shape from X, visual tracking, face detection and recognition, illumination and reflectance modeling, and low-level vision, segmentation and grouping.
Download or read book Cassell s Cyclopaedia of Photography written by Bernard Edward Jones and published by . This book was released on 1912 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt:
