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Finest Fitness Magazine – February 2021 – Julia Bakova Models: Daniella Davis, Robin Banks, Julia Bakova, Amber Rickard, Hanna Nowak, Scarlet Begonias, Olga Fedorova, Polina Leybzon, Narvini Dery, Photographers: Maksim Toome, Gary Bond, Dmitry Tsvetkov, Danny Steyn, Aleksey Satyrenko, Eye Candy Imagery, Vladimir Dedal Larionov, KMphoto, PAGE7 Photo, Finest Fitness Magazine Finest Fitness Magazine – Finest is a High-Quality Glamour & Fitness Magazine. Gorgeous Glamour Models Magazine. Featuring high-quality photos from Leading Photographers. Finest Magazine launched in October 2018, and has already gained a massive following, with over a dozen stunning covers. Your magazine for some of the Sexiest Models on the Planet, Gorgeous Fitness Models, Top Models, Fitness Gurls and International Glamour Models. Similar in nature to Vanquish Magazine, Maxim Magazine, Playboy Magazine, FHM Magazine, FHM Asia, Mancave Playbabes, Kandy Magazine, Shape Magazine, Men's Health, Men's Fitness, Fitness Magazines, Muscle & Fitness Magazine, Fitness Gurls, and many other such glamour & fitness magazines for men. Finest Magazine contains Gorgeous Women in a fitness glamour magazine scenario. We do not feature nude, nudes, nude-art photos. This is a Digital Magazine, and similar in nature to many other online magazines for men, fitness magazines, photography magazines and kindle magazines. In here you will find hot fitness models, blondes, brunettes, in the gym, and in fitness clothing. Many beautiful models. Categories it falls under is men’s interest, photography, fitness.
In The Color of Compromise, Jemar Tisby takes readers back to the roots of sustained racism and injustice in the American church. Filled with powerful stories and examples of American Christianity's racial past, Tisby's historical narrative highlights the obvious ways people of faith have actively worked against racial justice, as well as the complicit silence of racial moderates. Identifying the cultural and institutional tables that must be flipped to bring about progress, Tisby provides an in-depth diagnosis for a racially divided American church and suggests ways to foster a more equitable and inclusive environment among God's people. Book jacket.
The testimonies of six survivors of the Holocaust are presented in comics form, aimed at teenage readers. Some of them were children then, and are still alive to tell what happened to them and their families. How they survived. What they lost--and how you keep on living, despite it all. Jessica Bab Bonde has, based on survivor's stories, written an important book. Peter Bergting's art makes the book accessible, despite its difficult subject. Using first-person point of view allows the stories to get under your skin as survivors describe their persecutions in the Ghetto, the de-humanization and the starvation in the concentration camps, and the industrial-scale mass murder taking place in the extermination camps. When right-wing extremism and antisemitism are being evoked once again, it's the alarm-bell needed to remind us never to forget the horrors of the Holocaust.
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Fans of the Penderwicks and the Vanderbeekers, meet the Finkel family in this middle grade novel about two autistic sisters, their detective agency, and life's most consequential mysteries. When twelve-year-old Lara Finkel starts her very own detective agency, FIASCCO (Finkel Investigation Agency Solving Consequential Crimes Only), she does not want her sister, Caroline, involved. She and Caroline don't have to do everything together. But Caroline won't give up, and when she brings Lara the firm's first mystery, Lara relents, and the questions start piling up. But Lara and Caroline’s truce doesn’t last for long. Caroline normally uses her tablet to talk, but now she's busily texting a new friend. Lara can't figure out what the two of them are up to, but it can't be good. And Caroline doesn't like Lara's snooping—she's supposed to be solving other people's crimes, not spying on Caroline! As FIASCCO and the Finkel family mysteries spin out of control, can Caroline and Lara find a way to be friends again?
Reprint. Originally published: Clifton Park, NY: Cengage Learning, [2016].
How those with the power to design technology, in the very moment of design, are allowed to imagine who is included--and who is excluded--in the future. Our world is built on an array of standards we are compelled to share. In Proxies, Dylan Mulvin examines how we arrive at those standards, asking, "To whom and to what do we delegate the power to stand in for the world?" Mulvin shows how those with the power to design technology, in the very moment of design, are allowed to imagine who is included--and who is excluded--in the future. For designers of technology, some bits of the world end up standing in for other bits, standards with which they build and calibrate. These "proxies" carry specific values, even as they disappear from view. Mulvin explores the ways technologies, standards, and infrastructures inescapably reflect the cultural milieus of their bureaucratic homes. Drawing on archival research, he investigates some of the basic building-blocks of our shared infrastructures. He tells the history of technology through the labor and communal practices of, among others, the people who clean kilograms to make the metric system run, the women who pose as test images, and the actors who embody disease and disability for medical students. Each case maps the ways standards and infrastructure rely on prototypical ideas of whiteness, able-bodiedness, and purity to control and contain the messiness of reality. Standards and infrastructures, Mulvin argues, shape and distort the possibilities of representation, the meaning of difference, and the levers of change and social justice.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Drawing on the universal values in health care, the second edition of Quality and Safety in Nursing continues to devote itself to the nursing community and explores their role in improving quality of care and patient safety. Edited by key members of the Quality and Safety Education for Nursing (QSEN) steering team, Quality and Safety in Nursing is divided into three sections. Itfirst looks at the national initiative for quality and safety and links it to its origins in the IOM report. The second section defines each of the six QSEN competencies as well as providing teaching and clinical application strategies, resources and current references. The final section now features redesigned chapters on implementing quality and safety across settings. New to this edition includes: Instructional and practice approaches including narrative pedagogy and integrating the competencies in simulation A new chapter exploring the application of clinical learning and the critical nature of inter-professional teamwork A revised chapter on the mirror of education and practice to better understand teaching approaches This ground-breaking unique text addresses the challenges of preparing future nurses with the knowledge, skills, and attitudes (KSAs) necessary to continuously improve the health care system in which they practice.