56,79 €
Microsoft Azure Machine Learning
Microsoft Azure Machine Learning
  • Išparduota
Microsoft Azure Machine Learning
Microsoft Azure Machine Learning
El. knyga:
56,79 €
This book provides you with the skills necessary to get started with Azure Machine Learning to build predictive models as quickly as possible, in a very intuitive way, whether you are completely new to predictive analysis or an existing practitioner.The book starts by exploring ML Studio, the browser-based development environment, and explores the first step-data exploration and visualization. You will then build different predictive models using both supervised and unsupervised algorithms, inc…
  • Leidėjas:
  • Metai: 2015
  • Puslapiai: 212
  • ISBN: 9781784398514
  • ISBN-10: 1784398519
  • ISBN-13: 9781784398514
  • Formatas: ACSM ?
  • Kalba: Anglų

Microsoft Azure Machine Learning (el. knyga) (skaityta knyga) | knygos.lt

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This book provides you with the skills necessary to get started with Azure Machine Learning to build predictive models as quickly as possible, in a very intuitive way, whether you are completely new to predictive analysis or an existing practitioner.The book starts by exploring ML Studio, the browser-based development environment, and explores the first step-data exploration and visualization. You will then build different predictive models using both supervised and unsupervised algorithms, including a simple recommender system. The focus then shifts to learning how to deploy a model to production and publishing it as an API.The book ends with a couple of case studies using all the concepts and skills you have learned throughout the book to solve real-world problems.

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  • Autorius: Sumit Mund
  • Leidėjas:
  • Metai: 2015
  • Puslapiai: 212
  • ISBN: 9781784398514
  • ISBN-10: 1784398519
  • ISBN-13: 9781784398514
  • Formatas: ACSM ?
  • Kalba: Anglų

This book provides you with the skills necessary to get started with Azure Machine Learning to build predictive models as quickly as possible, in a very intuitive way, whether you are completely new to predictive analysis or an existing practitioner.The book starts by exploring ML Studio, the browser-based development environment, and explores the first step-data exploration and visualization. You will then build different predictive models using both supervised and unsupervised algorithms, including a simple recommender system. The focus then shifts to learning how to deploy a model to production and publishing it as an API.The book ends with a couple of case studies using all the concepts and skills you have learned throughout the book to solve real-world problems.

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