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Par omankuri le 1 Janvier 2021 à 12:31
ENTRENAMIENTO FUNCIONAL PARA TRANSFORMAR TODO EL CUERPO de JUAN CARLOS SANTANA
Ficha técnica
- ENTRENAMIENTO FUNCIONAL PARA TRANSFORMAR TODO EL CUERPO
- JUAN CARLOS SANTANA
- Número de páginas: 272
- Idioma: CASTELLANO
- Formatos: Pdf, ePub, MOBI, FB2
- ISBN: 9788416676842
- Editorial: TUTOR
- Año de edición: 2019
Descargas de libros de audio para ipod ENTRENAMIENTO FUNCIONAL PARA TRANSFORMAR TODO EL CUERPO de JUAN CARLOS SANTANA in Spanish
Overview
Mejorar el rendimiento y transformar el cuerpo Este libro proporciona más de 100 workouts, diseñados de manera profesional y con probada eficacia. También proporciona consejos nutricionales que te ayudarán a alcanzar tus objetivos más rápido de lo que jamás creíste posible. Famoso por su enfoque funcional del entrenamiento, el autor,“JC”Santana ha creado innumerables workouts y sabe cómo obtener resultados para transformar todo el cuerpo con el incremento del rendimiento atlético, la fuerza y la funcionalidad. Incluye consejos para el uso de múltiples implementos, incluidas barras, mancuernas y balones medicinales, para trabajar distintos músculos y añadir variedad. También aporta consejos nutricionales para ayudar a quemar grasa y aumentar la masa muscular; y recomendaciones sobre el descanso y la nutrición. Los workouts tienen en cuenta las necesidades singulares de hombres y mujeres, y proporcionan modificaciones para distintos tipos de implementos y máquinas, y directrices sobre cómo secuenciar el trabajo para crear programas diarios, mensuales y anuales.
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Par omankuri le 15 Décembre 2020 à 00:02
Prediction Machines: The Simple Economics of Artificial Intelligence. Ajay Agrawal, Joshua Gans, Avi Goldfarb
Prediction-Machines-The-Simple.pdf
ISBN: 9781633695689 | 272 pages | 7 Mb
- Prediction Machines: The Simple Economics of Artificial Intelligence
- Ajay Agrawal, Joshua Gans, Avi Goldfarb
- Page: 272
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781633695689
- Publisher: Harvard Business Review Press
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Overview
Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, Avi Goldfarb "What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs. When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.
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Par omankuri le 15 Décembre 2020 à 00:01
A First Course in Computational Physics. Paul L. DeVries
A-First-Course-in.pdf
ISBN: 9780471548690 | 435 pages | 11 Mb
- A First Course in Computational Physics
- Paul L. DeVries
- Page: 435
- Format: pdf, ePub, fb2, mobi
- ISBN: 9780471548690
- Publisher: Wiley
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Overview
The rapid advancement of computational physics has left a gap in the available literature adequately covering this important subject. This book fills that need. It demonstrates how numerical methods are used to solve the problems that physicists face. Chapters discuss different types of computational problems, with exercises developed around problems of physical interest. Within each chapter, students are lead from discussions of elementary problems and simple numerical approaches through derivations of more complex and sophisticated methods. Includes non-standard material such as Monte Carlo Methods, orthogonal polynomials and computerized tomography, and uses FORTRAN as the programming language.
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