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Ingenierías y Ciencias de la Computación (misceláneas): Recent submissions

Now showing items 61-80 of 411

Linux thin client networks design and deployment : a quick guide for system administrators

Richards, David (Packt Publishing, 2007)
CentOS 6 linux server cookbook: a practical guide to installing, configuring, and administering the CentOS community-based enterprise server. 1st ed.

Hobson, Jonathan (Packt Publishing, 2013)
Linear and nonlinear programming. 3rd ed.

Luenberger, David G.; Ye, Yinyu (Springer, 2008)
Ingeniería de software. 6.a ed.

Sommerville, Ian (Pearson Educación, 2002)
Facebook API developers guide

Graham, Wayne (Apress L.P., 2008)
Computer architecture. A quantitative approach. 4th ed.

Hennessy, John L.; Patterson, David A. (Elsevier, 2007)
Next-generation firewalls for dummies

Miller, Lawrence C. (Wiley, 2011)
Modeling with data : tools and techniques for scientific computing

Klemens, Ben (Princeton University Press, 2009)

Explains how to execute computationally intensive analysis on very large data sets. This book shows readers how to determine some of the best methods for solving a variety of different problems, how to create and debug ...
Process optimization: A statistical approach

Del Castillo, Enrique (Springer, 2007)
Encyclopedia of scientific dating methods

Rink, W. Jack ed.; Thompson, Jeroen W. ed; Heaman, Larry M. ed.; Jull, A. J. Timothy ed.; Paces, James B. ed. (Springer Reference, 2015)

This volume provides an overview of (1) the physical and chemical foundations of dating methods and (2) the applications of dating methods in the geological sciences, biology, and archaeology, in almost 200 articles from ...
The Sage encyclopedia of the Internet

Warf, Barney (Sage Publications Ltd., 2018)

The Internet needs no introduction, and its significance today can hardly be exaggerated. Today, more people are more connected technologically to one another than at any other time in human existence. For a large share ...
Encyclopedia of Algorithms. 2nd ed.

Kao, Ming-Yang (Springer, 2016)
The big data agenda : data ethics and critical data studies

Richterich, Annika (University of Westminster Press, 2018)
Big data and machine learning in quantitative investment

Guida, Tony (John Wiley & Sons, Inc., 2019)
Machine learning: Step-by-step guide to implement machine learning algorithms with python

Russell, Rudolph ([s.n.], 2018)
Multiview machine learning

Sun, Shiliang; Mao, Liang; Dong, Ziang; Wu, Lidan (Springer, 2019)

This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical ...
Machine learning and iot : a biological perspective

Sen, Shampa ed..; Datta, Leonid ed.; Mitra, Sayak ed. (CRC Press, 2019)
Machine learning with pyspark. With natural language processing and recommender systems

Singh, Pramod (Apress, 2019)

Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then ...
Empirical approach to machine learning

Angelov, Plamen P.; Gu, Xiaowei (Springer, 2019)

This book provides a 'one-stop source' for all readers who are interested in a new, empirical approach to machine learning that, unlike traditional methods, successfully addresses the demands of today’s data-driven world. ...
Machine learning risk assessments in criminal justice settings

Berk, Richard (Springer International Publishing, 2019)

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