Learn IT - Books tags clustering

Cloud Capacity Management (Expert's Voice in Information Technology)

Apress, 2013

Cloud Capacity Management helps readers in understanding what the cloud, IaaS, PaaS, SaaS are, how they relate to capacity planning and management and which stakeholders are involved in delivering value in the cloud value chain. It explains the role of capacity management for a creator, aggregator, and consumer of cloud...

Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras

Packt Publishing, 2018

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.

Key Features

Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and...

Artificial Mind System: Kernel Memory Approach (Studies in Computational Intelligence)

Springer, 2005

This book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad spectrum of interesting areas in general brain science and mind-oriented studies. In this research monograph a picture of the holistic model of an artificial mind system and its behaviour is drawn, as concretely as...

VMware ESX Server in the Enterprise: Planning and Securing Virtualization Servers

Prentice Hall, 2008

VMware ESX Server in the Enterprise is the definitive, real-world guide to planning, deploying, and managing today’s leading virtual infrastructure platform in mission-critical environments.

Drawing on his extensive experience consulting on large-scale ESX Server implementations,...

The Top Ten Algorithms in Data Mining

CRC Press, 2009

Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a...

Information Retrieval: Data Structures and Algorithms

Prentice Hall, 1992

Information retrieval is a sub-field of computer science that deals with the automated storage and retrieval of documents. Providing the latest information retrieval techniques, this guide discusses Information Retrieval data structures and algorithms, including implementations in C. Aimed at software engineers building systems with...

Perl Testing: A Developer's Notebook

O'Reilly, 2005

Is there any sexier topic in software development than software testing? That is, besides game programming, 3D graphics, audio, high-performance clustering, cool websites, et cetera? Okay, so software testing is low on the list. And that's unfortunate, because good software testing can increase your productivity, improve your...

Text Mining: Classification, Clustering, and Applications

CRC Press, 2009

This book is a worthy contribution to the field of text mining. By focusing on classification (rather than exhaustively covering extraction, summarization, and other tasks), it achieves the right balance of coherence and comprehensiveness. It collects papers by the leading authors in the field, who employ and explain a variety of...

Portable DBA: SQL Server

McGraw-Hill, 2004

Carry essential SQL Server administration information and troubleshooting techniques along with you so you can handle a wide variety of tasks on the spot. This handy resource offers fast access to administrative commands, syntax diagrams, error resolutions, best practices, and more. With coverage of the most commonly used SQL Server...

Cisco AVVID and IP Telephony Design and Implementation

Syngress Publishing, 2001

Cisco AVVID Design and Implementation is a complete reference for network administrators and engineers responsible for a complicated AVVID network. This book covers history, protocols, hardware, servers, switches, bridges, and routers, and discusses implementation issues, realities of cost, requirements, and network limitations. Engineers will...

Artificial Organic Networks: Artificial Intelligence Based on Carbon Networks

Springer, 2013

This monograph describes the synthesis and use of biologically-inspired artificial hydrocarbon networks (AHNs) for approximation models associated with machine learning and a novel computational algorithm with which to exploit them. The reader is first introduced to various kinds of algorithms designed to deal with approximation problems and...

Unsupervised Learning with R

Packt Publishing, 2015

Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data

About This Book

Unlock and discover how to tackle clusters of raw data through practical examples in R

Explore your data and create your own models from scratch

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