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] | ||
| 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] | ||
| 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] | ||
| Lo trovi qui: Univ. Federico II | ||
| ||