By Order of the Peaky Blinders by Matt Allen, Steven Knight

• By Order of the Peaky Blinders
• Matt Allen, Steven Knight
• Page: 224
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781454936060
• Publisher: Sterling

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Storytelling with Data: Let's Practice! by Cole Nussbaumer Knaflic

• Storytelling with Data: Let's Practice!
• Cole Nussbaumer Knaflic
• Page: 448
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781119621492
• Publisher: Wiley

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Overview

Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller. Let’s practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data’s foundational lessons, Let’s practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes: ● Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation ● Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions ● Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact The lessons and exercises found within this comprehensive guide will empower you to master—or develop in others—data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories!

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All Fires the Fire. Julio Cortázar, Suzanne Jill Levine

All-Fires-the-Fire.pdf
ISBN: 9780811229456 | 160 pages | 4 Mb

• All Fires the Fire
• Julio Cortázar, Suzanne Jill Levine
• Page: 160
• Format: pdf, ePub, fb2, mobi
• ISBN: 9780811229456
• Publisher: New Directions Publishing Corporation

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MÁQUINAS PREDICTIVAS de

Ficha técnica

• MÁQUINAS PREDICTIVAS
• Número de páginas: 320
• Idioma: CASTELLANO
• Formatos: Pdf, ePub, MOBI, FB2
• ISBN: 9788429195309
• Editorial: REVERTE
• Año de edición: 2019

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Overview

Cuando la IA se enmarca como predicción sencilla, su extraordinario potencial se hace evidente. ¿Qué implicaciones tiene la inteligencia artificial para tu negocio?. ¿Cómo deberían las empresas establecer estrategias, los gobiernos diseñar políticas y las personas planificar sus vidas para un mundo tan diferente al que conocemos?Enfrentar el cambio radical que supondrá la IA puede ser paralizante. Máquinas predictivas muestra cómo las herramientas básicas de la predicción sufrirán un cambio revolucionario gracias a la IA y las repercusiones económicas que ello supondrá, ofreciendo una base para la acción de los directores generales, gerentes, políticos, inversores y empresarios. "La inteligencia artificial (IA) puede transformar tu vida. Y Máquinas predictivas transformará tu comprensión sobre ella. Este es el mejor libro que se ha escrito hasta la fecha sobre lo que puede ser la mejor tecnología que jamás se haya desarrollado". LAWRENCE H. SUMMERS. Expresidente de la Universidad de Harvard, exsecretario del Departamento del Tesoro de EEUU y exjefe economista del Banco Mundial. "Máquinas predictivas es un libro innovador que se centra en lo que los estrategas y directores empresariales realmente necesitan saber sobre la revolución de la IA. Adoptando una perspectiva realista y bien fundamentada en torno a esta tecnología, este libro utiliza los principios económicos y la estrategia para entender cómo las empresas, las industrias y las administraciones serán transformadas por la IA". SUSAN ATHEY. Profesora de Economía de la Tecnología, Universidad de Standford; exinvestigadora y asesora de Microsoft Research New England. "Máquinas predictivas consigue una proeza tan loable como única: un estudio legible y conciso sobre adonde nos está llevando la inteligencia artificial, que separa el despliegue publicitario de la realidad, al tiempo que ofrece un flujo constante de nuevos conocimientos sobre la materia. Habla en un lenguaje que los altos ejecutivos y los políticos entenderán. Todos los líderes necesitan leer este libro". DOMINIC BARTON. Socio director global de McKinsey & Company. "Este libro hace que la inteligencia artificial sea más fácil de entender, redefiniéndola como un artículo nuevo y asequible capaz de hacer predicciones. Es una brillante iniciativa. El libro me pareció sumamente útil". KEVIN KELLY. Editor ejecutivo y fundador de Wired; autor de What Technology Wants y Lo inevitable

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EL HUMO EN EL SOL de RENEE AHDIEH

Ficha técnica

• EL HUMO EN EL SOL
• RENEE AHDIEH
• Número de páginas: 472
• Idioma: CASTELLANO
• Formatos: Pdf, ePub, MOBI, FB2
• ISBN: 9788416858934
• Editorial: NOCTURNA EDICIONES
• Año de edición: 2019

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Overview

Una vez que Okami es capturado, a Mariko no le queda otra opción que regresar a Inako y afrontar los peligros que entraña el castillo Heian. Con el fin de rescatarlo, persuade a su hermano y a su prometido de que el Clan Negro la retenía contra su voluntad, y se infiltra en las filas del emperador para descubrir la verdad de la traición que casi le costó la vida. Mientras los preparativos para la boda progresan, Mariko aprovecha su papel privilegiado para investigar qué se oculta bajo las múltiples capas de mentiras. Pero cada secreto que averigua origina uno nuevo capaz de enredarla más en una maraña de maquinaciones que no sólo supone un grave riesgo para su seguridad, sino también para la del imperio.
«Si en el primer tomo la tensión se cocinaba a fuego lento, este es pura acción. Mariko es una heroína a la que merece la pena seguir hasta el emocionante final». Booklist. «Un desenlace magnífico y bien escrito para el mundo de ensueño creado en La llama en la niebla». School Library Journal. «La llama en la niebla es una detallada novela fantástica ambientada en el Japón feudal (...). Ahdieh tiene una habilidad inmensa para crear escenarios coloridos llenos de personajes con trasfondos muy bien desarrollados». Publishers Weekly

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