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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!
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!
A helpful guide for parents dealing with Autistic children
Growing up in the 1920s, sixteen-year-old Garnet Richardson watches the birds outside her window, admiring their freedom and beauty. Her mother, on the other hand, does not approve of Garnet climbing trees to peer into nests. She has Garnet’s life all planned out: after finishing high school, she’ll marry and tend to the home. When Garnet is sent away for the summer to stay with relatives in the lakeside resort town of Excelsior, Minnesota, she discovers a chance to spread her wings. There she finds herself under the supervision of oppressive guardians and her father’s wealthy cousin. But an amusement park and roaring dance hall beckon, and her explorations land her where she least expects—enthralled with a beautiful and daring flapper, Isabella. Caught between her family’s expectations and her own newfound passions, Garnet must decide whose dreams to follow. Tender and moving, Silhouette of a Sparrow is the tale of a young woman’s discovery of the science of risk, the art of rebellion, and, of course, the power of unexpected love.
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.
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.
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.
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.