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Mastering HPCC Systems: ECL Cookbook

2024-01-18 Computers
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Release : 2024-01-18
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Mastering HPCC Systems: ECL Cookbook by : Richard Taylor

Download or read book Mastering HPCC Systems: ECL Cookbook written by Richard Taylor. This book was released on 2024-01-18. Available in PDF, EPUB and Kindle. Book excerpt: HPCC Systems is an Open Source Big Data supercomputing platform that is an alternative to the Hadoop and Spark worlds. The Mastering HPCC Systems series introduces the HPCC Systems platform to anyone interested in evaluating it for use on their own big data projects. It also expands the ECL programming knowledge of anyone already working with the platform. This ECL Cookbook volume provides a large number of discrete "tips and tricks" articles that describe various useful ECL programming techniques not already covered in the other volumes of this series. The articles are organized into sections that cover working with data files, index files, strings, dates, sets, and math functions. The code described provides a very useful set of library functions that can be used as-is, or as the basis for your extrapolation to solve related problems using the same techniques.

Handbook of Cloud Computing

2010-09-11 Computers
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Release : 2010-09-11
Genre : Computers
Kind : eBook
Book Rating : 246/5 ( reviews)

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Book Synopsis Handbook of Cloud Computing by : Borko Furht

Download or read book Handbook of Cloud Computing written by Borko Furht. This book was released on 2010-09-11. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing has become a significant technology trend. Experts believe cloud computing is currently reshaping information technology and the IT marketplace. The advantages of using cloud computing include cost savings, speed to market, access to greater computing resources, high availability, and scalability. Handbook of Cloud Computing includes contributions from world experts in the field of cloud computing from academia, research laboratories and private industry. This book presents the systems, tools, and services of the leading providers of cloud computing; including Google, Yahoo, Amazon, IBM, and Microsoft. The basic concepts of cloud computing and cloud computing applications are also introduced. Current and future technologies applied in cloud computing are also discussed. Case studies, examples, and exercises are provided throughout. Handbook of Cloud Computing is intended for advanced-level students and researchers in computer science and electrical engineering as a reference book. This handbook is also beneficial to computer and system infrastructure designers, developers, business managers, entrepreneurs and investors within the cloud computing related industry.

Big Data Technologies and Applications

2016-09-16 Computers
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Release : 2016-09-16
Genre : Computers
Kind : eBook
Book Rating : 502/5 ( reviews)

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Book Synopsis Big Data Technologies and Applications by : Borko Furht

Download or read book Big Data Technologies and Applications written by Borko Furht. This book was released on 2016-09-16. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.

Introduction to Machine Learning

2014-08-22 Computers
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Release : 2014-08-22
Genre : Computers
Kind : eBook
Book Rating : 182/5 ( reviews)

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Book Synopsis Introduction to Machine Learning by : Ethem Alpaydin

Download or read book Introduction to Machine Learning written by Ethem Alpaydin. This book was released on 2014-08-22. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.

Handbook of Data Intensive Computing

2011-12-10 Computers
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Release : 2011-12-10
Genre : Computers
Kind : eBook
Book Rating : 156/5 ( reviews)

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Book Synopsis Handbook of Data Intensive Computing by : Borko Furht

Download or read book Handbook of Data Intensive Computing written by Borko Furht. This book was released on 2011-12-10. Available in PDF, EPUB and Kindle. Book excerpt: Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book. Handbook of Data Intensive Computing is designed as a reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.

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