Search Results - (((((((ant OR kkantor) OR wiant) OR data) OR cantor) OR anne) OR halten) OR antii) algorithms.

Big data : un changement de paradigme peut en cacher un autre.

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Computer animation : algorithms and techniques by Parent, Rick

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Error Correction Coding : Mathematical Methods and Algorithms. by Moon, Todd K.

Table of Contents: “…Cover -- Title Page -- Copyright -- Contents -- Preface -- List of Program Files -- List of Laboratory Exercises -- List of Algorithms -- List of Figures -- List of Tables -- List of Boxes -- About the Companion Website -- Part I Introduction and Foundations -- Chapter 1 A Context for Error Correction Coding -- 1.1 Purpose of This Book -- 1.2 Introduction: Where Are Codes? …”
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Microscope Image Processing. by Wu, Qiang, 1958-

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Algorithms, architectures and information systems security

Table of Contents: “…Theory of a Practical Delaunay Meshing Algorithm for a Large Class of Domains S.-W. Cheng, T.K. …”
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Algorithmic Graph Theory and Perfect Graphs. by Rheinboldt, Werner

Table of Contents: “…The Design of Efficient Algorithms; 1. The Complexity of Computer Algorithms; 2. …”
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Body sensor networking, design, and algorithms by Sanei, Saeid, Jarchi, Delaram, 1983-, Constantinides, A. G.

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Network and discrete location : models, algorithms, and applications by Daskin, Mark S., 1952-

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Data intensive computing applications for big data

Table of Contents: “…Application of Big Data Analytics in Cloud Computing via Machine LearningA Novel Mechanism for Cloud Data Management in Distributed Environment; Spark SQL with Hive Context or SQL Context; Renewing Computing Paradigms for More Efficient Parallelization of Single-Threads; MongoDB as an Efficient Graph Database: An Application of Document Oriented NOSQL Database; Big Data Analytics for Prevention and Control of HIV/AIDS; Performance Analysis of Deadlock Prevention and MUTEX Detection Algorithms in Distributed Environment.…”
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Hands-On Data Warehousing with Azure Data Factory : ETL techniques to load and transform data from various sources, both on-premises and on cloud. by Kamrat Gutzait, Michelle

Table of Contents: “…Ways to directly copy files into the Data LakePrerequisites for the next steps; Creating a Data Lake Analytics resource; Using the data factory to manipulate data in the Data Lake; Task 1 -- copy/import data from SQL Server to a blob storage file using data factory; Task 2 -- run a U-SQL task from the data factory pipeline to summarize data; Service principal authentication; Run U-SQL from a job in the Data Lake Analytics; Summary; Chapter 5: Machine Learning on the Cloud; Machine learning overview; Machine learning algorithms; Supervised learning; Unsupervised learning; Reinforcement learning.…”
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Big data, data mining and machine learning : value creation for business leaders and practitioners by Dean, Jared, 1978-

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Boosting : foundations and algorithms by Schapire, Robert E.

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Graph partitioning and graph clustering : 10th DIMACS Implementation Challenge Workshop, February 13-14, 2012, Georgia Institute of Technology, Atlanta, GA

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Computational Intelligence, Evolutionary Computing, Evolutionary Clustering Algorithms. by Kristensen, Terje

Table of Contents: “…Cluster Validation; Evolutionary Algorithms ; 3.1. INTRODUCTION; 3.1.1. Data Representation Chromosome; 3.1.2. …”
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Molecular bioinformatics : algorithms and applications by Schulze-Kremer, S. (Steffen)

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Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms. by Ozdemir, Caner

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Standard colorimetry : definitions, algorithms, and software by Oleari, Claudio

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Data science programming all-in-one by Mueller, John, 1958-, Massaron, Luca

Table of Contents: “…Manipulating data using basic algorithms --…”
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Handbook of Mathematical Formulas and Integrals. by Jeffrey, Alan

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Deep Learning for the Earth Sciences : A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences. by Camps-Valls, Gustau

Table of Contents: “…Cover -- Title Page -- Copyright -- Contents -- Foreword -- Acknowledgments -- List of Contributors -- List of Acronyms -- Chapter 1 Introduction -- 1.1 A Taxonomy of Deep Learning Approaches -- 1.2 Deep Learning in Remote Sensing -- 1.3 Deep Learning in Geosciences and Climate -- 1.4 Book Structure and Roadmap -- Part I Deep Learning to Extract Information from Remote Sensing Images -- Chapter 2 Learning Unsupervised Feature Representations of Remote Sensing Data with Sparse Convolutional Networks -- 2.1 Introduction -- 2.2 Sparse Unsupervised Convolutional Networks…”
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