Machine Learning with Python for Everyone

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Sprache: Englisch

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Beschreibung

Students are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine Learning with Python for Everyone brings 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.

Reflecting 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.

All students need to succeed in data science with Python: process, code, and implementation
Students will understand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems
Integrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets

All you need to succeed in data science with Python: process, code, and implementation

Understand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems
Integrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets
For wide audiences of analysts, managers, project leads, statisticians, developers, and students who want a quick jumpstart into data science

All students need to succeed in data science with Python: process, code, and implementation
Students will understand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems
Integrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets

All you need to succeed in data science with Python: process, code, and implementation

Understand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems
Integrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets
For wide audiences of analysts, managers, project leads, statisticians, developers, and students who want a quick jumpstart into data science

Über den Autor

Dr. Mark Fenner, owner of Fenner Training and Consulting, LLC, has taught computing and mathematics to diverse adult audiences since 1999, and holds a PhD in computer science. His research has included design, implementation, and performance of machine learning and numerical algorithms; developing learning systems to detect user anomalies; and probabilistic modeling of protein function.

Erscheinungsjahr:	2019
Fachbereich:	Programmiersprachen
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	Kartoniert / Broschiert
ISBN-13:	9780134845623
ISBN-10:	0134845625
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Fenner, Mark
Hersteller:	Pearson Education (US)
Maße:	228 x 179 x 31 mm
Von/Mit:	Mark Fenner
Erscheinungsdatum:	17.12.2019
Gewicht:	0,912 kg

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