MACHINE LEARNING WITH PYTHON FOR EVERYONE

MACHINE LEARNING WITH PYTHON FOR EVERYONE

MARK E. FENNER

$2,481.00
IVA incluido
Sin Stock
Editorial:
PEARSON EDITORIAL, S.A. DE C.V.
Año de edición:
2019
Materia
Ingenierias
ISBN:
978-0-13-484562-3
Páginas:
592

u003cpu003eStudents are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. u003cbu003eMachine Learning with Python for Everyone u003c/bu003ebrings together all they'll need to succeed: a practical understanding of the machine learning process, accessible code, skills for implementing that process with Python and the scikit-learn library, and real expertise in using learning systems intelligently.u003c/pu003e u003cpu003e u003c/pu003e u003cpu003eReflecting 20 years of experience teaching non-specialists, Dr. Mark Fenner teaches through carefully-crafted datasets that are complex enough to be interesting, but simple enough for non-specialists. Building on this foundation, Fenner presents real-world case studies that apply his lessons in detailed, nuanced ways. Throughout, he offers clear narratives, practical "code-alongs," and easy-to-understand images -- focusing on mathematics only where it's necessary to make connections and deepen insight.u003c/pu003e u003cpu003e u003c/pu003e u003cpu003e u003c/pu003e u003culu003e u003cliu003e All students need to succeed in data science with Python: process, code, and implementation u003c/liu003e u003cliu003eStudents will understand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems u003c/liu003e u003cliu003eIntegrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasetsu003c/liu003e u003c/ulu003e u003cpu003eu003cbu003eAll you need to succeed in data science with Python: process, code, and implementationu003c/bu003eu003c/pu003e u003culu003e u003cliu003eUnderstand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems u003c/liu003e u003cliu003eIntegrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets u003c/liu003e u003cliu003eFor wide audiences of analysts, managers, project leads, statisticians, developers, and students who want a quick jumpstart into data scienceu003c/liu003e u003c/ulu003e

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