OpenLibra | Más recientes http://www.etnassoft.com/olrss/all/newest/num_items=10/ La Biblioteca Libre Online es-ES OpenLibra 15 http://www.etnassoft.com/wp-content/themes/etnassoft/images/layout/openlibra_logo.png OpenLibra | Más recientes http://www.etnassoft.com/olrss/all/newest/num_items=10/ <![CDATA[Data-Intensive Text Processing with MapReduce]]>Book Cover
Titulo: Data-Intensive Text Processing with MapReduce
Autor: Jimmy Lin & Chris Dyer
Publicacion: 2010
Editorial: Morgan & Claypool Publishers
Num. Paginas: 175
Tamano: 1.33 Mbs (zip)
Idioma: Inglés

Categorias: Algoritmos, Programación
Etiquetas: Algoritmia, Cloud computing, Datos, Hadoop, Map-reduce, Programación

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well.

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<![CDATA[Innovative Uses of Matrices]]>Book Cover
Titulo: Innovative Uses of Matrices
Autor: Varios
Publicacion: 2012
Editorial: Educational Publisher Inc.
Num. Paginas: 229
Tamano: 2.58 Mbs (zip)
Idioma: Inglés

Categorias: Ciencia, Matemáticas
Etiquetas: Ciencia, Matemáticas, Matrices

In this book authors bring out the innovative applications of matrices defined, described and developed by them. Here they do not include the natural product on matrices newly described and defined by them in the book on ‘natural product ×n on matrices’. This book is organized into seven chapters. The first one is introductory in nature. In the second chapter authors give the unique and new way of analyzing the data which is time dependent. We construct three types of matrices called Average Time Dependent data matrix (ATD matrix), Refined Time Dependent Data matrix (RTD matrix) and Combined Effective Time Dependent Data matrix (CETD matrix). The authors describe the working of this new type of matrix model by working with the real world transportation problem. It is proved this new model is effective and elegant. At this juncture the authors deeply acknowledge the unostentatious help rendered by Dr. Mandalam. In chapter three the authors for the first time define the new concept of matrices with linguistic variables. These linguistic matrices are used in the place of fuzzy matrices which serve as the dynamical system for FCM and FRM models. By this method the solution themselves are linguistic terms so mathematical interpretation is not needed. In chapter four authors have used super matrices in the following ways. They are used in super fuzzy models like super FCMs, super FRMs super FAMs etc. Super linear algebra using these super matrices pave way to super eigen values and super eigen vectors, infact in almost all applications of matrices in linear algebra. The special mention is made to the Leontief open production super model and closed super model. By this method easy comparison and bulk working is possible. We have also used super matrices with entries from finite fields in the construction of several types of super codes.

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<![CDATA[Relatos Increíbles #3]]>Book Cover
Titulo: Relatos Increíbles #3
Autor: Varios
Publicacion: 2015
Editorial: ACUEDI
Num. Paginas: 42
Tamano: 2.98 Mbs (zip)
Idioma: Español

Categorias: Relatos Increíbles, Revistas
Etiquetas: Ciencia ficción, Cifi, Cuentos, Literatura, Relatos, Relatos Increíbles, Revistas, Terror

Relatos Increíbles es una revista electrónica peruana de periodicidad mensual en la que se publican textos narrativos de ciencia ficción, terror y fantasía, escritos en español. Consta de tres secciones: “Editorial”, “Cartas de lectores” y “Cuentos”. En este número, encontramos el siguiente contenido: El chamán del espray Aquel maravilloso sueño que fue Alternworld Solo quiero un pedazo de carne The Taming of the Snake La cruz y la media luna Día de caza Muro de honor

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<![CDATA[The MagPi #42]]>Book Cover
Titulo: The MagPi #42
Autor: Varios
Publicacion: 2016
Editorial: Autoedición
Num. Paginas: 100
Tamano: 21.68 Mbs (zip)
Idioma: Inglés

Categorias: MagPi, Revistas
Etiquetas: MagPi, Python, RaspberryPi, Retrogaming, Revistas

Welcome to this new issue of The MagPi magazine. BUILD A BINARY CLOCK SURFING RANDOM STREAMS NODE-RED MINECRAFT PART 2 PI BAKERY: HUNT THE SNARK USE SENSE HAT WITH FUZE TWEET WITH WOLFRAM BUILD YOUR OWN HAT ASTRO PI

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<![CDATA[Understanding Machine Learning: From Theory to Algorithms]]>Book Cover
Titulo: Understanding Machine Learning: From Theory to Algorithms
Autor: Shai Shalev-Shwartz & Shai Ben-David
Publicacion: 2014
Editorial: Cambridge University Press
Num. Paginas: 449
Tamano: 2.48 Mbs (zip)
Idioma: Inglés

Categorias: Algoritmos, Matemáticas
Etiquetas: Algoritmia, Ciencia, Machine Learning, Matemáticas

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering. Note: This book has been released by their authors on its website: http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/

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<![CDATA[Big CPU, Big Data]]>Book Cover
Titulo: Big CPU, Big Data
Autor: Alan Kaminsky
Publicacion: 2015
Editorial: Autoedición
Num. Paginas: 424
Tamano: 10.94 Mbs (zip)
Idioma: Inglés

Categorias: Algoritmos, Programación
Etiquetas: Big data, Computación paralela, GPU, Map-reduce, Programación, Redes

To study parallel programming with this book, you’ll need the following prerequisite knowledge: Java programming; C programming (for GPU programs); computer organization concepts (CPU, memory, cache, and so on); operating system concepts (threads, thread synchronization). My pedagogical style is to teach by example. Accordingly, this book consists of a series of complete parallel program examples that illustrate various aspects of parallel programming. The example programs’ source code is listed on the right-hand pages, and explanatory narrative is on the left-hand pages. The example source code is also included in the PJ2 download. To write programs well, you must first learn to read programs; so please avoid the temptation to gloss over the source code listings, and carefully study both the source code and the explanations. Also study the PJ2 Javadoc documentation for the various classes used in the example programs. The Javadoc includes comprehensive descriptions of each class and method. Space does not permit describing all the classes in detail in this book; read the Javadoc for further information. The book consists of these parts: Part I covers introductory concepts. Part II covers parallel programming for multicore computers. Part III covers parallel programming for compute clusters. Part IV covers parallel programming on GPUs. Part V covers big data parallel programming using map-reduce.

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<![CDATA[Introductory Statistics]]>Book Cover
Titulo: Introductory Statistics
Autor: Varios
Publicacion: 2013
Editorial: Rice University
Num. Paginas: 863
Tamano: 21.97 Mbs (zip)
Idioma: Inglés

Categorias: Ciencia, Matemáticas
Etiquetas: Ciencia, Distribución, Estadística, Matemáticas, Probabilidad

Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean. Additional topics, examples, and ample opportunities for practice have been added to each chapter. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful, so that students can draw from it a working knowledge that will enrich their future studies and help them make sense of the world around them.

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<![CDATA[Advanced Algebra II: Activities and Homework]]>Book Cover
Titulo: Advanced Algebra II: Activities and Homework
Autor: Kenny M. Felder
Publicacion: 2009
Editorial: Rice University
Num. Paginas: 302
Tamano: 867 Kbs (zip)
Idioma: Inglés

Categorias: Ciencia, Matemáticas
Etiquetas: álgebra, Ciencia, Funciones, Matemáticas, Matrices, Números imaginarios, Probabilidad

Over a period of time, I have developed a set of in-class assignments, homeworks, and lesson plans, that work for me and for other people who have tried them. The complete set comprises three separate books that work together: The Homework and Activities Book contains in-class and homework assignments that are given to the students day-by-day. The Concepts Book provides conceptual explanations, and is intended as a reference or review guide for students; it is not used when teaching the class. The Teacher's Guide provides lesson plans; it is your guide to how I envisioned these materials being used when I created them (and how I use them myself). Instructors should note that this book probably contains more information than you will be able to cover in a single school year. I myself do not teach from every chapter in my own classes, but have chosen to include these additional materials to assist you in meeting your own needs. As you will likely need to cut some sections from the book, I strongly recommend that you spend time early on to determine which modules are most important for your state requirements and personal teaching style. One more warning is important: these materials were designed for an Advanced Algebra II course. For such a course, I hope this will provide you with ready-to-use textbook and lesson plans. If you are teaching a Standard or Remedial-level course, these materials will still be useful, but you will probably have to cut or reduce some of the most conceptual material, and supplement it with more drill-and-practice than I provide. The following table of contents provides a list of topics covered in this course with links to each module. You can use these links to move between the books or to jump ahead to any topic.

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<![CDATA[Advanced Algebra II: Teacher’s Guide]]>Book Cover
Titulo: Advanced Algebra II: Teacher’s Guide
Autor: Kenny M. Felder
Publicacion: 2009
Editorial: Rice University
Num. Paginas: 144
Tamano: 558 Kbs (zip)
Idioma: Inglés

Categorias: Ciencia, Matemáticas
Etiquetas: álgebra, Ciencia, Ecuaciones, Funciones, Logaritmos, Matemáticas, Matrices, Probabilidad

What you're holding in your hand is much closer to a set of detailed lesson plans than to a traditional textbook. As you read through it, your first reaction may be "Who does he think he is, telling me exactly what to say and when to say it?" Please don't take it that way. Take it this way instead. Over a period of time, I have developed a set of in-class assignments, homeworks, and lesson plans, that work for me and for other people who have tried them. If I give you the in-class assignments and the homeworks, but not the lesson plans, you only have 2/3 of the story; and it may not make sense without the other third. So instead, I am giving you everything: the in-class assignments and the homeworks (gathered together in the student book), the detailed explanations of all the concepts (the other student book), and the lesson plans (this document). Once you read them over, you will know exactly what I have done. What do you do then? You may choose to follow my plan exactly, for a number of reasons because it worked for me, or because it looks like a good plan to you, or just because you have enough other things to do without planning a lesson that I've already planned. On the other hand, you may choose to do something quite different, that incorporates my ideas in some form that I never imagined. This book is not a proscription, in other words, but a resource.

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<![CDATA[Advanced Algebra II: Conceptual Explanations]]>Book Cover
Titulo: Advanced Algebra II: Conceptual Explanations
Autor: Kenny M. Felder
Publicacion: 2014
Editorial: Rice University
Num. Paginas: 260
Tamano: 879 Kbs (zip)
Idioma: Inglés

Categorias: Ciencia, Matemáticas
Etiquetas: álgebra, Ciencia, Ecuaciones, Funciones, Logaritmos, Matemáticas, Matrices, Modelado de datos, Probabilidad, Secuencias

Over a period of time, I have developed a set of in-class assignments, homeworks, and lesson plans, that work for me and for other people who have tried them. The complete set comprises three separate books that work together: The Homework and Activities Book contains in-class and homework assignments that are given to the students day-by-day. The Concepts Book provides conceptual explanations, and is intended as a reference or review guide for students; it is not used when teaching the class. The Teacher's Guide provides lesson plans; it is your guide to how I envisioned these materials being used when I created them (and how I use them myself). Instructors should note that this book probably contains more information than you will be able to cover in a single school year. I myself do not teach from every chapter in my own classes, but have chosen to include these additional materials to assist you in meeting your own needs. As you will likely need to cut some sections from the book, I strongly recommend that you spend time early on to determine which modules are most important for your state requirements and personal teaching style.

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