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Biblioteca

MARC Lista (tabellare)
Machine learning and big data with kdb+/q / / Jan Novotny [and three others]
Machine learning and big data with kdb+/q / / Jan Novotny [and three others]
Autore Novotny Jan <1982->
Edizione [1st edition]
Pubbl/distr/stampa Chichester, West Sussex, England : , : Wiley, , [2020]
Descrizione fisica 1 online resource (640 pages)
Disciplina 332.60285416
Collana Wiley finance
Soggetto topico Investments - Data processing
Soggetto genere / forma Electronic books.
ISBN 1-119-40473-8
1-119-40472-X
1-119-40474-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910555131603321
Novotny Jan <1982->  
Chichester, West Sussex, England : , : Wiley, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine learning and big data with kdb+/q / / Jan Novotny [and three others]
Machine learning and big data with kdb+/q / / Jan Novotny [and three others]
Autore Novotny Jan <1982->
Edizione [1st edition]
Pubbl/distr/stampa Chichester, West Sussex, England : , : Wiley, , [2020]
Descrizione fisica 1 online resource (640 pages)
Disciplina 332.60285416
Collana Wiley finance
Soggetto topico Investments - Data processing
ISBN 1-119-40473-8
1-119-40472-X
1-119-40474-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fundamentals of the q programming language -- Dictionaries and tables : the q fundamentals -- Functions -- Editors and other tools -- Debugging q code -- Splayed and partitioned tables -- Joins -- Parallelisation -- Data cleaning and filtering -- Parse trees -- A few use cases -- Basic overview of statistics -- Linear regression -- Time series econometrics -- Fourier transform -- Eigensystem and PCA -- Outlier detection -- Simulating asset prices -- Basic principles of machine learning -- Linear regression with regularisation -- Nearest neighbours -- Neural networks -- AdaBoost with stumps -- Trees -- Forests -- Unsupervised machine learning : the Apriori algorithm -- Processing information -- Towards AI : Monte Carlo tree search -- Econophysics : the agent-based computational models -- Epilogue: Art.
Record Nr. UNINA-9910677722103321
Novotny Jan <1982->  
Chichester, West Sussex, England : , : Wiley, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine learning and big data with kdb+/q / / Jan Novotny [and three others]
Machine learning and big data with kdb+/q / / Jan Novotny [and three others]
Autore Novotny Jan <1982->
Edizione [1st edition]
Pubbl/distr/stampa Chichester, West Sussex, England : , : Wiley, , [2020]
Descrizione fisica 1 online resource (640 pages)
Disciplina 332.60285416
Collana Wiley finance
Soggetto topico Investments - Data processing
ISBN 1-119-40473-8
1-119-40472-X
1-119-40474-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fundamentals of the q programming language -- Dictionaries and tables : the q fundamentals -- Functions -- Editors and other tools -- Debugging q code -- Splayed and partitioned tables -- Joins -- Parallelisation -- Data cleaning and filtering -- Parse trees -- A few use cases -- Basic overview of statistics -- Linear regression -- Time series econometrics -- Fourier transform -- Eigensystem and PCA -- Outlier detection -- Simulating asset prices -- Basic principles of machine learning -- Linear regression with regularisation -- Nearest neighbours -- Neural networks -- AdaBoost with stumps -- Trees -- Forests -- Unsupervised machine learning : the Apriori algorithm -- Processing information -- Towards AI : Monte Carlo tree search -- Econophysics : the agent-based computational models -- Epilogue: Art.
Record Nr. UNINA-9910817938503321
Novotny Jan <1982->  
Chichester, West Sussex, England : , : Wiley, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning in Finance [[electronic resource] ] : From Theory to Practice / / by Matthew F. Dixon, Igor Halperin, Paul Bilokon
Machine Learning in Finance [[electronic resource] ] : From Theory to Practice / / by Matthew F. Dixon, Igor Halperin, Paul Bilokon
Autore Dixon Matthew F
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XXV, 548 p. 97 illus., 83 illus. in color.)
Disciplina 332.0285554
Soggetto topico Statistics 
Applied mathematics
Engineering mathematics
Statistics for Business, Management, Economics, Finance, Insurance
Applications of Mathematics
Statistics, general
ISBN 3-030-41068-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Probabilistic Modeling -- Chapter 3. Bayesian Regression & Gaussian Processes -- Chapter 4. Feed Forward Neural Networks -- Chapter 5. Interpretability -- Chapter 6. Sequence Modeling -- Chapter 7. Probabilistic Sequence Modeling -- Chapter 8. Advanced Neural Networks -- Chapter 9. Introduction to Reinforcement learning -- Chapter 10. Applications of Reinforcement Learning -- Chapter 11. Inverse Reinforcement Learning and Imitation Learning -- Chapter 12. Frontiers of Machine Learning and Finance.
Record Nr. UNISA-996418260403316
Dixon Matthew F  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine Learning in Finance : From Theory to Practice / / by Matthew F. Dixon, Igor Halperin, Paul Bilokon
Machine Learning in Finance : From Theory to Practice / / by Matthew F. Dixon, Igor Halperin, Paul Bilokon
Autore Dixon Matthew F
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XXV, 548 p. 97 illus., 83 illus. in color.)
Disciplina 332.0285554
Soggetto topico Statistics
Applied mathematics
Engineering mathematics
Statistics for Business, Management, Economics, Finance, Insurance
Applications of Mathematics
Statistics, general
ISBN 9783030410681
3030410684
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Probabilistic Modeling -- Chapter 3. Bayesian Regression & Gaussian Processes -- Chapter 4. Feed Forward Neural Networks -- Chapter 5. Interpretability -- Chapter 6. Sequence Modeling -- Chapter 7. Probabilistic Sequence Modeling -- Chapter 8. Advanced Neural Networks -- Chapter 9. Introduction to Reinforcement learning -- Chapter 10. Applications of Reinforcement Learning -- Chapter 11. Inverse Reinforcement Learning and Imitation Learning -- Chapter 12. Frontiers of Machine Learning and Finance.
Record Nr. UNINA-9910483443303321
Dixon Matthew F  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui