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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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 |
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Dixon Matthew F
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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 | 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. | UNINA-9910483443303321 |
|
Dixon Matthew F
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||