Machine Learning with Python for Everyone (Addison-Wesley Data & Analytics Series) - Tapa blanda

Fenner, Mark

 
9780134845623: Machine Learning with Python for Everyone (Addison-Wesley Data & Analytics Series)
Tapa blanda
ISBN 10: 0134845625 ISBN 13: 9780134845623
Editorial: Addison-Wesley Professional, 2019

Sinopsis

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.

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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



"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del 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.

De la contraportada

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



"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Addison-Wesley Professional
Año de publicación
2019
Idioma
Inglés
ISBN 10 
0134845625
ISBN 13 
9780134845623
Encuadernación
Tapa blanda
Número de páginas
588
Contacto del fabricante
Addison Wesley
https://www.kytta.de/de-de

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Estados Unidos de America
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