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Mi patria desconocida: es mensaje de amor, amistad, una aventura que tiene mucho humor y diversion, con un lenguaje simple. Disfrutalo. De repente se transportaron a un mundo de placer y ya no lo pudieron evitar, ya que los dos lo deseaban, consumar su amor en una entrega total de dos almas y dos cuerpos que se aman. El exquisito embeleso los llevo a un extasis de amor, desconocido, pero placentero para los dos. En el rostro de Mary se veia un color hermoso y resplandeciente. Pedro la acariciaba como queriendo detener el tiempo, que ese momento sublime se quedara ahi entre ellos, para siempre y por toda una eternidad. --No Javi, yo tengo mas de lo que necesito, el dinero no es las vida. Con el abrazo que me dieron ayer, me basto para sentirme bien pagado, les aseguro que yo los quiero igual. --Asi se habla Pachito --dijo David emocionado--, la amistad entre los hombres es lo que mas cuenta en las vida. La amistad no tiene credos, limites, ni nacionalidades, cuando nace una amistad no importa de donde seas, que creas, o que posicion tienes, a una amistad sincera no le importa si eres rico o pobre, siempre perdura toda una vida.
SOBRE LA NOVELA El fundador y presidente del consorcio South Global Enterprise, Robert H. Fullker, fue despojado de la dirección de su empresa e internado en un hospital psiquiátrico por su hijo Edgar, instigado por su amigo John P. Jugle, quien ostenta el cargo de Apoderado y Director General del grupo de empresas. Por no aceptar los nuevos lineamientos y mantenerse firmes dentro de sus principios éticos, dos de los más brillantes ejecutivos de la empresa, Arthur Jefferson y Thomas Blades, se ven implicados en una intriga contra ellos, que desencadena una serie de trágicos acontecimientos que cambian la vida de mucha gente e influyen dramáticamente en sus vidas.
It is a different book to others because it contains learning methods of integral calculus and proves to be useful for students and teachers of High Schools, Colleges Bachelors, Universities and Technological Institutions.
An authorised reissue of the long out of print classic textbook, Advanced Calculus by the late Dr Lynn Loomis and Dr Shlomo Sternberg both of Harvard University has been a revered but hard to find textbook for the advanced calculus course for decades.This book is based on an honors course in advanced calculus that the authors gave in the 1960's. The foundational material, presented in the unstarred sections of Chapters 1 through 11, was normally covered, but different applications of this basic material were stressed from year to year, and the book therefore contains more material than was covered in any one year. It can accordingly be used (with omissions) as a text for a year's course in advanced calculus, or as a text for a three-semester introduction to analysis.The prerequisites are a good grounding in the calculus of one variable from a mathematically rigorous point of view, together with some acquaintance with linear algebra. The reader should be familiar with limit and continuity type arguments and have a certain amount of mathematical sophistication. As possible introductory texts, we mention Differential and Integral Calculus by R Courant, Calculus by T Apostol, Calculus by M Spivak, and Pure Mathematics by G Hardy. The reader should also have some experience with partial derivatives.In overall plan the book divides roughly into a first half which develops the calculus (principally the differential calculus) in the setting of normed vector spaces, and a second half which deals with the calculus of differentiable manifolds.
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Goods friends always stick together. Charlie Rooster, Johnny Mouse, and Percy the pig are the best of friends. They do everything together. They ride their bike together, play games together, and even do their chores together. Because that's what good friends do. When night falls, though, and it's time to go to bed, they learn that sometimes friends have to be apart. But that's okay, because true friends always find each other, even if it's just in their dreams.
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.