Search Results - electronic data processing (distributed OR distribution) processing.

Statistical Analysis with R for Dummies by Schmuller, Joseph

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Genomic Signal Processing. by Shmulevich, Ilya

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Computational Paralinguistics : Emotion, Affect and Personality in Speech and Language Processing. by Schuller, Bj?rn

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Kooperation von Rechenzentren : Governance und Steuerung : Organisation, Rechtsgrundlagen, Politik

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Data and Application Security : Developments and Directions by Thuraisingham, Bhavani M.

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Technology and in/equality : questioning the information society

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Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

Table of Contents: “…Cover -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Big Data and Artificial Intelligence Systems -- Results pyramid -- What the human brain does best -- Sensory input -- Storage -- Processing power -- Low energy consumption -- What the electronic brain does best -- Speed information storage -- Processing by brute force -- Best of both worlds -- Big Data -- Evolution from dumb to intelligent machines -- Intelligence -- Types of intelligence -- Intelligence tasks classification -- Big data frameworks -- Batch processing -- Real-time processing -- Intelligent applications with Big Data -- Areas of AI -- Frequently asked questions -- Summary -- Chapter 2: Ontology for Big Data -- Human brain and Ontology -- Ontology of information science -- Ontology properties -- Advantages of Ontologies -- Components of Ontologies -- The role Ontology plays in Big Data -- Ontology alignment -- Goals of Ontology in big data -- Challenges with Ontology in Big Data -- RDF-the universal data format -- RDF containers -- RDF classes -- RDF properties -- RDF attributes -- Using OWL, the Web Ontology Language -- SPARQL query language -- Generic structure of an SPARQL query -- Additional SPARQL features -- Building intelligent machines with Ontologies -- Ontology learning -- Ontology learning process -- Frequently asked questions -- Summary -- Chapter 3: Learning from Big Data -- Supervised and unsupervised machine learning -- The Spark programming model -- The Spark MLlib library -- The transformer function -- The estimator algorithm -- Pipeline -- Regression analysis -- Linear regression -- Least square method -- Generalized linear model -- Logistic regression classification technique -- Logistic regression with Spark -- Polynomial regression -- Stepwise regression -- Forward selection -- Backward elimination.…”
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Digital holographic data representation and compression by Xing, Yafei, Pesquet-Popescu, Beatrice, Dufaux, Frederic, 1967-

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High-performance parallel database processing and grid databases

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Introduction to Discrete Event Systems by Cassandras, Christos G.

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Data analysis and statistics for geography, environmental science, and engineering by Acevedo, Miguel F.

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Time-frequency domain for segmentation and classification of non-stationary signals : the Stockwell Transform applied on bio-signals and electric signals by Moukadem, Ali, Abdeslam, Djaffar Ould, Dieterlen, Alain

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Handbook of Enterprise Operations Management. by Blanding, Steven F.

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Business Continuity and Disaster Recovery Planning for IT Professionals. by Snedaker, Susan

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Co-operative process management : cognition and information technology

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Econophysics of income and wealth distributions by Chakrabarti, B. K. (Bikas K.), 1952-

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Where words get their meaning : cognitive processing and distributional modelling of word meaning in first and second language by Bolognesi, Marianna

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Microsoft Dynamics GP 2013 financial management : unleash the power of financial management with tips, techniques, and solutions for Microsoft Dynamics GP 2013 by Grieve, Ian

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Statistical Analysis of Massive Data Streams : Proceedings of a Workshop. by Statistics, Committee on Applied and Theoretical

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Computational methods in engineering design and optimization

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