Fun Q: A Functional Introduction to Machine Learning in Q

Author:   Nick Psaris
Publisher:   Vector SIGMA
ISBN:  

9781734467505


Pages:   416
Publication Date:   16 July 2020
Format:   Paperback
Availability:   Available To Order   Availability explained
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Fun Q: A Functional Introduction to Machine Learning in Q


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Overview

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!

Full Product Details

Author:   Nick Psaris
Publisher:   Vector SIGMA
Imprint:   Vector SIGMA
Dimensions:   Width: 19.10cm , Height: 2.20cm , Length: 23.50cm
Weight:   0.712kg
ISBN:  

9781734467505


ISBN 10:   1734467509
Pages:   416
Publication Date:   16 July 2020
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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