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Fun Q
A Functional Introduction to Machine Learning in Q
Taschenbuch von Nick Psaris
Sprache: Englisch

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Beschreibung
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!
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!
Details
Erscheinungsjahr: 2020
Fachbereich: Datenkommunikation, Netze & Mailboxen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 416
ISBN-13: 9781734467505
ISBN-10: 1734467509
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Psaris, Nick
Hersteller: Vector Sigma
Maße: 235 x 191 x 23 mm
Von/Mit: Nick Psaris
Erscheinungsdatum: 16.07.2020
Gewicht: 0,773 kg
preigu-id: 118857219
Details
Erscheinungsjahr: 2020
Fachbereich: Datenkommunikation, Netze & Mailboxen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 416
ISBN-13: 9781734467505
ISBN-10: 1734467509
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Psaris, Nick
Hersteller: Vector Sigma
Maße: 235 x 191 x 23 mm
Von/Mit: Nick Psaris
Erscheinungsdatum: 16.07.2020
Gewicht: 0,773 kg
preigu-id: 118857219
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