Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health, biology, engineering, technology and related sciences. Examples use the most recent R language syntax, with recognized robust, widespread and current packages. Code scripts are exhaustively commented, making it clear to readers what happens in each command. For data collection, readers are instructed how to build their own robots from the very beginning. In addition, an entire chapter focuses on the concept of spatial analysis, allowing readers to build their own maps through geo-referenced data (such as in epidemiologic research) and some basic statistical techniques. Other chapters cover ensemble and uplift modeling and GLMM (Generalized Linear Mixed Models) estimations, both linear and nonlinear. - Presents a comprehensive and practical overview of machine learning, data mining and AI techniques for a broad multidisciplinary audience - Serves readers who are interested in statistics, analytics and modeling, and those who wish to deepen their knowledge in programming through the use of R - Teaches readers how to apply machine learning techniques to a wide range of data and subject areas - Presents data in a graphically appealing way, promoting greater information transparency and interactive learning
Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health, biology, engineering, technology and related sciences. Examples use the most recent R language syntax, with recognized robust, widespread and current packages. Code scripts are exhaustively commented, making it clear to readers what happens in each command. For data collection, readers are instructed how to build their own robots from the very beginning. In addition, an entire chapter focuses on the concept of spatial analysis, allowing readers to build their own maps through geo-referenced data (such as in epidemiologic research) and some basic statistical techniques. Other chapters cover ensemble and uplift modeling and GLMM (Generalized Linear Mixed Models) estimations, both linear and nonlinear. - Presents a comprehensive and practical overview of machine learning, data mining and AI techniques for a broad multidisciplinary audience - Serves readers who are interested in statistics, analytics and modeling, and those who wish to deepen their knowledge in programming through the use of R - Teaches readers how to apply machine learning techniques to a wide range of data and subject areas - Presents data in a graphically appealing way, promoting greater information transparency and interactive learning
Growth, reproduction, and geographical distribution of plants are profoundly influenced by their physiological ecology: the interaction with the surrounding physical, chemical, and biological environments. This textbook highlights mechanisms that underlie plant physiological ecology at the levels of physiology, biochemistry, biophysics, and molecular biology. At the same time, the integrative power of physiological ecology is well suited to assess the costs, benefits, and consequences of modifying plants for human needs and to evaluate the role of plants in natural and managed ecosystems. Plant Physiological Ecology, Third Edition is significantly updated, with many full color illustrations, and begins with the primary processes of carbon metabolism and transport, plant water relations, and energy balance. After considering individual leaves and whole plants, these physiological processes are then scaled up to the level of the canopy. Subsequent chapters discuss mineral nutrition and the ways in which plants cope with nutrient‐deficient or toxic soils. The book then looks at patterns of growth and allocation, life‐history traits, and interactions between plants and other organisms. Later chapters deal with traits that affect decomposition of plant material and with the consequences of plant physiological ecology at ecosystem and global levels. Plant Physiological Ecology, Third Edition features several boxed entries that extend the discussions of selected issues, a glossary, and numerous references to the primary and review literature. This significant new text is suitable for use in plant ecology courses, as well as classes ranging from plant physiology to plant molecular biology.
El quehacer del periodista se ha modificado sustancialmente. Los materiales periodísticos impresos, televisivos o radiofónicos se producen hoy de manera completamente distinta a la de hace años. Las tecnologías de la comunicación y de la información posibilitaron que se redujera el tiempo y el espacio, lo que ha reducido el tiempo de reflexión y de investigación. El periodismo en línea, en tiempo real, los blogs y las herramientas de las redes sociales digitales constituyen innovaciones en las rutinas profesionales. Pero ¿cómo observa el profesional de la información esos cambios? ¿Qué piensa el periodista sobre su propio trabajo y sobre el periodismo en general? ¿Cómo la actividad laboral le organiza su vida? ¿Qué tipo de consumidor mediático es el periodista?
Modernity in Black and White provides a groundbreaking account of modern art and modernism in Brazil. Departing from previous accounts, mostly restricted to the elite arenas of literature, fine art and architecture, the book situates cultural debates within the wider currents of Brazilian life. From the rise of the first favelas, in the 1890s and 1900s, to the creation of samba and modern carnival, over the 1910s and 1920s, and tracking the expansion of mass media and graphic design, into the 1930s and 1940s, it foregrounds aspects of urban popular culture that have been systematically overlooked. Against this backdrop, Cardoso provides a radical re-reading of Antropofagia and other modernist currents, locating them within a broader field of cultural modernization. Combining extensive research with close readings of a range of visual cultural production, the volume brings to light a vast archive of art and images, all but unknown outside Brazil.
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