Fun Q A Functional Introductio

Psaris, Nick

ISBN 10: 1734467509 / ISBN 13: 9781734467505

Edité par Vector Sigma, 2020

Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00096491750

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!

Détails bibliographiques

Titre : Fun Q A Functional Introductio
Éditeur : Vector Sigma
Date d'édition : 2020
Reliure : Couverture souple
Etat : Good