9781119404750 - machine learning and big data with kdb+/q di novotny, jan; bilokon, paul a.; galiotos, aris; deleze, frederic (23 risultati)

Lingua: Inglese
Editore: Wiley, 2020
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Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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Machine Learning and Big Data With Kdb+/q
Novotny, Jan; Bilokon, Paul A.; Galiotos, Aris; Deleze, Frederic
Lingua: Inglese
Editore: Wiley, 2020
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: New.

Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2019
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Hardcover. Condizione: new. Hardcover. Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to h…andle the speed and volume of high-frequency financial data at sell- and buy-side institutions, these tools have become the de facto standard; this book provides the foundational knowledge practitioners need to work effectively with this rapidly-evolving approach to analytical trading. The discussion follows the natural progression of working strategy development to allow hands-on learning in a familiar sphere, illustrating the contrast of efficiency and capability between the q language and other programming approaches. Rather than an all-encompassing bible-type reference, this book is designed with a focus on real-world practicality to help you quickly get up to speed and become productive with the language. Understand why kdb+/q is the ideal solution for high-frequency dataDelve into meat of q programming to solve practical economic problemsPerform everyday operations including basic regressions, cointegration, volatility estimation, modelling and moreLearn advanced techniques from market impact and microstructure analyses to machine learning techniques including neural networks The kdb+ database and its underlying programming language q offer unprecedented speed and capability. As trading algorithms and financial models grow ever more complex against the markets they seek to predict, they encompass an ever-larger swath of data more variables, more metrics, more responsiveness and altogether more moving parts. Traditional programming languages are increasingly failing to accommodate the growing speed and volume of data, and lack the necessary flexibility that cutting-edge financial modelling demands. Machine Learning and Big Data with KDB+/Q opens up the technology and flattens the learning curve to help you quickly adopt a more effective set of tools. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Lingua: Inglese
Editore: John Wiley and Sons, 2020
- Rilegato
Da: INDOO, Avenel, NJ, U.S.A.INDOO
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Condizione: New. Brand New.

Machine Learning and Big Data With Kdb+/q
Novotny, Jan; Bilokon, Paul A.; Galiotos, Aris; Deleze, Frederic
Lingua: Inglese
Editore: Wiley, 2020
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 75,94
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Condizione: As New. Unread book in perfect condition.

Lingua: Inglese
Editore: Wiley, 2019
- Rilegato
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Machine Learning and Big Data with kdb+/q (Wiley Finance)
Novotny, Jan; Bilokon, Paul A.; Galiotos, Aris; Deleze, Frederic
Lingua: Inglese
Editore: Wiley, 2020
- Rilegato
Da: California Books, Miami, FL, U.S.A.California Books
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Condizione: New.

Machine Learning and Big Data with KDB+/Q
Novotny, Jan; Bilokon, Paul A.; Galiotos, Aris; Deleze, Frederic
Lingua: Inglese
Editore: John Wiley & Sons, 2020
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 350.

Machine Learning and Big Data with KDB+/Q
Novotny, Jan; Bilokon, Paul A.; Galiotos, Aris; Deleze, Frederic
Lingua: Inglese
Editore: John Wiley & Sons, 2020
- Rilegato
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 78,40
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Condizione: New. pp. 350.

Lingua: Inglese
Editore: Wiley, 2020
- Rilegato
Da: medimops, Berlin, Germaniamedimops
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Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Machine Learning and Big Data With Kdb+/q
Novotny, Jan; Bilokon, Paul A.; Galiotos, Aris; Deleze, Frederic
Lingua: Inglese
Editore: Wiley, 2020
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: New.

Machine Learning and Big Data with kdb+/q (Wiley Finance)
Novotny, Jan; Bilokon, Paul A.; Galiotos, Aris; Deleze, Frederic
Lingua: Inglese
Editore: Wiley, 2020
- Rilegato
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.

Lingua: Inglese
Editore: John Wiley & Sons Inc, 2019
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. 2019. Hardcover. . . . . .

Machine Learning and Big Data With Kdb+/q
Novotny, Jan; Bilokon, Paul A.; Galiotos, Aris; Deleze, Frederic
Lingua: Inglese
Editore: Wiley, 2020
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
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Condizione: As New. Unread book in perfect condition.

Lingua: Inglese
Editore: Wiley 2019-11-21, 2019
- Rilegato
Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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EUR 84,34
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Hardcover. Condizione: New.

Machine Learning and Big Data with kdb+/q (Wiley Finance)
Novotny, Jan; Bilokon, Paul A.; Galiotos, Aris; Deleze, Frederic
Lingua: Inglese
Editore: Wiley, 2020
- Rilegato
Da: Ubiquity Trade, Miami, FL, U.S.A.Ubiquity Trade
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Condizione: New. Brand new! Please provide a physical shipping address.

Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2019
- Rilegato
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condizione: new. Hardcover. Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to h…andle the speed and volume of high-frequency financial data at sell- and buy-side institutions, these tools have become the de facto standard; this book provides the foundational knowledge practitioners need to work effectively with this rapidly-evolving approach to analytical trading. The discussion follows the natural progression of working strategy development to allow hands-on learning in a familiar sphere, illustrating the contrast of efficiency and capability between the q language and other programming approaches. Rather than an all-encompassing bible-type reference, this book is designed with a focus on real-world practicality to help you quickly get up to speed and become productive with the language. Understand why kdb+/q is the ideal solution for high-frequency dataDelve into meat of q programming to solve practical economic problemsPerform everyday operations including basic regressions, cointegration, volatility estimation, modelling and moreLearn advanced techniques from market impact and microstructure analyses to machine learning techniques including neural networks The kdb+ database and its underlying programming language q offer unprecedented speed and capability. As trading algorithms and financial models grow ever more complex against the markets they seek to predict, they encompass an ever-larger swath of data more variables, more metrics, more responsiveness and altogether more moving parts. Traditional programming languages are increasingly failing to accommodate the growing speed and volume of data, and lack the necessary flexibility that cutting-edge financial modelling demands. Machine Learning and Big Data with KDB+/Q opens up the technology and flattens the learning curve to help you quickly adopt a more effective set of tools. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Lingua: Inglese
Editore: John Wiley & Sons Inc, 2020
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Ottimo
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Hardcover. Condizione: Sehr gut. Gebraucht - Sehr gut SG - leichte Beschädigungen oder Verschmutzungen, ungelesenes Mängelexemplar, gestempelt - Upgrade your programming language to more effectively handle high-frequency dataMachine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical…entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to handle the speed and volume of high-frequency financial data at sell- and buy-side institutions, these tools have become the de facto standard; this book provides the foundational knowledge practitioners need to work effectively with this rapidly-evolving approach to analytical trading.The discussion follows the natural progression of working strategy development to allow hands-on learning in a familiar sphere, illustrating the contrast of efficiency and capability between the q language and other programming approaches. Rather than an all-encompassing 'bible'-type reference, this book is designed with a focus on real-world practicality -to help you quickly get up to speed and become productive with the language.\* Understand why kdb+/q is the ideal solution for high-frequency data\* Delve into 'meat' of q programming to solve practical economic problems\* Perform everyday operations including basic regressions, cointegration, volatility estimation, modelling and more\* Learn advanced techniques from market impact and microstructure analyses to machine learning techniques including neural networksThe kdb+ database and its underlying programming language q offer unprecedented speed and capability. As trading algorithms and financial models grow ever more complex against the markets they seek to predict, they encompass an ever-larger swath of data -- more variables, more metrics, more responsiveness and altogether more 'moving parts.'Traditional programming languages are increasingly failing to accommodate the growing speed and volume of data, and lack the necessary flexibility that cutting-edge financial modelling demands. Machine Learning and Big Data with KDB+/Q opens up the technology and flattens the learning curve to help you quickly adopt a more effective set of tools.

Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2019
- Rilegato
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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Hardcover. Condizione: new. Hardcover. Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to h…andle the speed and volume of high-frequency financial data at sell- and buy-side institutions, these tools have become the de facto standard; this book provides the foundational knowledge practitioners need to work effectively with this rapidly-evolving approach to analytical trading. The discussion follows the natural progression of working strategy development to allow hands-on learning in a familiar sphere, illustrating the contrast of efficiency and capability between the q language and other programming approaches. Rather than an all-encompassing bible-type reference, this book is designed with a focus on real-world practicality to help you quickly get up to speed and become productive with the language. Understand why kdb+/q is the ideal solution for high-frequency dataDelve into meat of q programming to solve practical economic problemsPerform everyday operations including basic regressions, cointegration, volatility estimation, modelling and moreLearn advanced techniques from market impact and microstructure analyses to machine learning techniques including neural networks The kdb+ database and its underlying programming language q offer unprecedented speed and capability. As trading algorithms and financial models grow ever more complex against the markets they seek to predict, they encompass an ever-larger swath of data more variables, more metrics, more responsiveness and altogether more moving parts. Traditional programming languages are increasingly failing to accommodate the growing speed and volume of data, and lack the necessary flexibility that cutting-edge financial modelling demands. Machine Learning and Big Data with KDB+/Q opens up the technology and flattens the learning curve to help you quickly adopt a more effective set of tools. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Lingua: Inglese
Editore: John Wiley & Sons Inc, 2020
- Rilegato
Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. 2019. Hardcover. . . . . . Books ship from the US and Ireland.

Lingua: Inglese
Editore: John Wiley & Sons, 2019
- Rilegato
Da: moluna, Greven, Germaniamoluna
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EUR 91,03
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Gebunden. Condizione: New. JAN NOVOTNY is an eFX quant trader at Deutsche Bank. Previously, he worked at the Centre for Econometric Analysis on high-frequency econometric models. He holds a PhD from CERGE-EI, Charles University, Prague.PAUL A. BILOKON is CEO and founder of Thalesians.

Lingua: Inglese
Editore: John Wiley & Sons Dez 2019, 2019
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 123,00
EUR 66,02 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Neuware - Upgrade your programming language to more effectively handle high-frequency dataMachine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to handle t…he speed and volume of high-frequency financial data at sell- and buy-side institutions, these tools have become the de facto standard; this book provides the foundational knowledge practitioners need to work effectively with this rapidly-evolving approach to analytical trading.The discussion follows the natural progression of working strategy development to allow hands-on learning in a familiar sphere, illustrating the contrast of efficiency and capability between the q language and other programming approaches. Rather than an all-encompassing 'bible'-type reference, this book is designed with a focus on real-world practicality -to help you quickly get up to speed and become productive with the language.\* Understand why kdb+/q is the ideal solution for high-frequency data\* Delve into 'meat' of q programming to solve practical economic problems\* Perform everyday operations including basic regressions, cointegration, volatility estimation, modelling and more\* Learn advanced techniques from market impact and microstructure analyses to machine learning techniques including neural networksThe kdb+ database and its underlying programming language q offer unprecedented speed and capability. As trading algorithms and financial models grow ever more complex against the markets they seek to predict, they encompass an ever-larger swath of data -- more variables, more metrics, more responsiveness and altogether more 'moving parts.'Traditional programming languages are increasingly failing to accommodate the growing speed and volume of data, and lack the necessary flexibility that cutting-edge financial modelling demands. Machine Learning and Big Data with KDB+/Q opens up the technology and flattens the learning curve to help you quickly adopt a more effective set of tools.

Lingua: Inglese
Editore: John Wiley & Sons Inc, 2020
- Rilegato
- Print on Demand
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 101,35
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Hardcover. Condizione: Brand New. 613 pages. 10.00x7.00x1.25 inches. In Stock. This item is printed on demand.