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More about Fun Q

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Book synopsis

Bring the power of machine learning to the fastest time-series database. Fun Q uses the powerful q programming language to implement many of the most famous machine-learning algorithms. Using a meticulously factored machine-learning library, each algorithm is broken into its basic building blocks and then rebuilt from scratch.   Famous machine-learning data sets are used to motivate each chapter as advanced q idioms are introduced. Whether you are a data scientist who is new to q or a kdb+ administrator who is new to machine learning, you'll have fun learning how machine-learning algorithms can be implemented in the concise vector-functional language q. With nothing but the q binary, you'll be able to download data sets, generate plots in the q terminal and get progress-bar-style feedback as model parameters iteratively improve. In addition to being a functional introduction to machine learning algorithms in q, it is designed to be a fun introduction as well!

Book details

• Full title: Fun Q
• Author: Nick Psaris
• Language: English
• Binding: Paperback
• Number of pages: 416
• EAN: 9781734467505
• ISBN: 1734467509
• ID: 33067063
• Publisher: Vector Sigma
• Weight: 712 g
• Dimensions: 235 × 191 × 23 mm
• Date of publishing: 16. July 2020

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