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#SBIB:96G --- #SBIB:39A73 --- #SBIB:39A4 --- #SBIB:327.4H21 --- Science --- -Science --- -Technology --- -Applied science --- Arts, Useful --- Science, Applied --- Useful arts --- Industrial arts --- Material culture --- Natural science --- Science of science --- Sciences --- Geschiedenis van Afrika --- Etnografie: Afrika --- Toegepaste antropologie --- Kolonisatie / dekolonisatie / post-kolonisatie --- History --- -History --- -France --- Colonies --- -#SBIB:96G --- -Geschiedenis van Afrika --- Pʻŭrangsŭ --- Frankrig --- Francja --- Frant︠s︡ii︠a︡ --- Prantsusmaa --- Francia (Republic) --- Tsarfat --- Tsorfat --- Franḳraykh --- Frankreich --- Fa-kuo --- Faguo --- Франция --- French Republic --- République française --- Peurancih --- Frankryk --- Franse Republiek --- Francland --- Frencisc Cynewīse --- فرنسا --- Faransā --- Franza --- Republica Franzesa --- Gallia (Republic) --- Hyãsia --- Phransiya --- Fransa --- Fransa Respublikası --- Franse --- Францыя --- Frantsyi︠a︡ --- Французская Рэспубліка --- Frantsuzskai︠a︡ Rėspublika --- Parancis --- Pransya --- Franis --- Francuska --- Republika Francuska --- Bro-C'hall --- Френска република --- Frenska republika --- França --- República Francesa --- Pransiya --- Republikang Pranses --- Γαλλία --- Gallia --- Γαλλική Δημοκρατία --- Gallikē Dēmokratia --- فرانسه --- Farānsah --- צרפת --- רפובליקה הצרפתית --- Republiḳah ha-Tsarfatit --- פראנקרייך --- 法国 --- 法蘭西共和國 --- Falanxi Gongheguo --- フランス --- Furansu --- フランス共和国 --- Furansu Kyōwakoku --- Francija --- Ranska --- Frankrike --- France --- 19th century --- Europe --- Technology --- Africa --- Applied science --- Natural sciences

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The Emergence of Tropical Medicine in France examines the turbulent history of the ideas, people, and institutions of French colonial and tropical medicine from their early modern origins through World War I. Until the 1890s colonial medicine was in essence naval medicine, taught almost exclusively in a system of provincial medical schools built by the navy in the port cities of Brest, Rochefort-sur-Mer, Toulon, and Bordeaux. Michael A. Osborne draws out this separate species of French medicine by examining the histories of these schools and other institutions in the regional and municipal contexts of port life. Each site was imbued with its own distinct sensibilities regarding diet, hygiene, ethnicity, and race, all of which shaped medical knowledge and practice in complex and heretofore unrecognized ways. Osborne argues that physicians formulated localized concepts of diseases according to specific climatic and meteorological conditions, and assessed, diagnosed, and treated patients according to their ethnic and cultural origins. He also demonstrates that regions, more so than a coherent nation, built the empire and specific medical concepts and practices. Thus, by considering tropical medicine's distinctive history, Osborne brings to light a more comprehensive and nuanced view of French medicine, medical geography, and race theory, all the while acknowledging the navy's crucial role in combating illness and investigating the racial dimensions of health.

Tropical medicine --- Medicine --- History --- Colonies --- History --- medical, hospital, europe, european, history, historical, colonial, postcolonial, tropics, wwi, postwar, wartime, origins, modern, contemporary, 20th century, port city, cities, urban, 1800s, 1890s, naval, military, schools, schooling, education, brest, rochefort sur mer, bordeaux, regional, physicians, doctors, nurses, nursing, treatment, geography, race, racism, theory, theoretical, navy.

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Probabilistic numerical computation formalises the connection between machine learning and applied mathematics. Numerical algorithms approximate intractable quantities from computable ones. They estimate integrals from evaluations of the integrand, or the path of a dynamical system described by differential equations from evaluations of the vector field. In other words, they infer a latent quantity from data. This book shows that it is thus formally possible to think of computational routines as learning machines, and to use the notion of Bayesian inference to build more flexible, efficient, or customised algorithms for computation. The text caters for Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. Extensive background material is provided along with a wealth of figures, worked examples, and exercises (with solutions) to develop intuition.

Machine learning --- Computer algorithms. --- Mathematics.