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Description
Machine Learning and Big Data with kdb+/qCondition: BRAND NEW ISBN: 9781119404750 Year: 2019 Publisher: John Wiley & Sons (UK) Pages: 640 Description: 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
Condition: BRAND NEWISBN: 9781119404750
Year: 2019
Publisher: John Wiley & Sons (UK)
Pages: 640
Description:
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 ev
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4.7 ★★★★★
Based on 14 reviews
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Product Reviews
★★★★★ 5
Will buy again
Size: XX-Large, Color: White
Very comfortable. Fits as expected,
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 15, 2025
★★★★★ 5
Men’s mock golf shirt
Color: Lake Green, White, Black, Size: XX-Large
Fit & quality very good.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 4, 2026
★★★★★ 5
Nice Fit
Color: Black, White, Light Gray, Size: 3X-Large
I picked this up looking for something simple but clean, and it delivered. The fit is comfortable, the material feels solid, and it looks good without needing much effort. It’s one of those pieces you can throw on and still look put together.
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Reviewed in the United States on March 29, 2026
★★★★★ 4
Good value, soft and comfortable
Color: Black, Army Green, Light Gray, Size: 4X-Large, Color: Black, Army Green, Light Gray, Size: 4X-Large
Initial thoughts are very positive with this 3 pack shirt set. The green is similar to an OD military green and the black and gray are standard color shades. Material is soft and sizes are true to size. The mock turtleneck isn’t too tight but may still be a little annoying to some people. I do question the amount of spandex in these shirts. Tag says 5% but these shirts are extremely stretchy and feels like a higher spandex content. It’s also a little tough to figure out which way is the front of the shirt. Visually rhe front does have a lower collar line than the back but would still be nice to have a brand tag printed in the back of the shirt for quicker identification.
Overall for roughly $12 a shirt these are a good choice for everyday wear. I will update rating if these shirts fail to meet expectations after further use.
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Reviewed in the United States on April 8, 2025
★★★★★ 5
👍🏻
Color: Black, Army Green, Light Gray, Size: 5X-Large
Weirdly thick material, I wasn’t a fan but it’s a good sleep shirt
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 28, 2026
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