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Machine Learning and Big Data with kdb+/q: Q, High Frequency Financial Data and
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Located in: Calgary, Alberta, Canada
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Estimated between Sat, 15 Jun and Mon, 24 Jun to 43230
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eBay item number:395295612339
Item specifics
- Condition
- ISBN-13
- 9781119404750
- Book Title
- Machine Learning and Big Data with kdb+/q
- ISBN
- 9781119404750
- Subject Area
- Computers, Business & Economics
- Publication Name
- Machine Learning and Big Data with Kdb+/Q
- Item Length
- 9.8 in
- Publisher
- Wiley & Sons, Incorporated, John
- Subject
- Data Modeling & Design, Finance / Financial Engineering, Desktop Applications / Databases, Data Processing, Databases / Data Mining
- Series
- Wiley Finance Ser.
- Publication Year
- 2019
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.6 in
- Item Width
- 7 in
- Item Weight
- 43 Oz
- Number of Pages
- 640 Pages
About this product
Product Information
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 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 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.
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119404754
ISBN-13
9781119404750
eBay Product ID (ePID)
247964813
Product Key Features
Publication Name
Machine Learning and Big Data with Kdb+/Q
Format
Hardcover
Language
English
Subject
Data Modeling & Design, Finance / Financial Engineering, Desktop Applications / Databases, Data Processing, Databases / Data Mining
Series
Wiley Finance Ser.
Publication Year
2019
Type
Textbook
Subject Area
Computers, Business & Economics
Number of Pages
640 Pages
Dimensions
Item Length
9.8 in
Item Height
1.6 in
Item Width
7 in
Item Weight
43 Oz
Additional Product Features
LCCN
2019-024955
Intended Audience
Scholarly & Professional
Lc Classification Number
Qa76.7.N68 2020
Copyright Date
2020
Item description from the seller
Business seller information
Premier Books LLC
David Taylor
26C Trolley Sq
19806-3356 Wilmington, DE
United States
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Seller assumes all responsibility for this listing.
eBay item number:395295612339
Postage and packaging
Item location:
Calgary, Alberta, Canada
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I received the book today, and enjoyed reading it. It arrived early, well packaged as expected. Good seller !
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