Book, Machine Learning and Big Data with kdb+/q
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Book, Machine Learning and Big Data with kdb+/q

Book, Machine Learning and Big Data with kdb+/q

Available:In Stock
Rs. 2,995 Rs. 3,495
PRODUCT DETAILS:
  • Language: English
  • Paperback: 640 pages
  • ISBN-10: 111940472X
  • ISBN-13: 978-1119404729
  • Item Weight:1.5 pounds
  • Dimensions: 5.98 x 0.59 x 9.02 inches
  • Publisher: Wiley (November 11, 2019)
  • Upgrade your programming language to handle high-frequency data
  • Machine Learning and Big Data with KDB+/Q offer 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 the “meat” of q programming to solve practical economic problems
  • Perform everyday operations including basic regressions, cointegration, volatility estimation, modeling, and more
  • Learn 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 modeling demands. Machine Learning and Big Data with KDB+/Q open up the technology and flatten the learning curve to help you quickly adopt a more effective set of tools. 
PACKAGE CONTENT: 1 x Book
       
PRODUCT DETAILS:
  • Language: English
  • Paperback: 640 pages
  • ISBN-10: 111940472X
  • ISBN-13: 978-1119404729
  • Item Weight:1.5 pounds
  • Dimensions: 5.98 x 0.59 x 9.02 inches
  • Publisher: Wiley (November 11, 2019)
  • Upgrade your programming language to handle high-frequency data
  • Machine Learning and Big Data with KDB+/Q offer 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 the “meat” of q programming to solve practical economic problems
  • Perform everyday operations including basic regressions, cointegration, volatility estimation, modeling, and more
  • Learn 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 modeling demands. Machine Learning and Big Data with KDB+/Q open up the technology and flatten the learning curve to help you quickly adopt a more effective set of tools. 
PACKAGE CONTENT: 1 x Book       

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