Predictive Analytics with Microsoft Azure Machine Learning

Build and Deploy Actionable Solutions in Minutes

Autor*innen

• Valentine Fontama
• Roger Barga
• Wee Hyong Tok

Parameter

• 188 Seiten
• 7 Lesestunden

• Computer & Internet

Mehr zum Buch

Data Science and Machine Learning are increasingly essential as businesses seek to derive insights from their data. Traditional Business Intelligence tools are no longer sufficient due to the growing volume, speed, and complexity of data. While Business Intelligence focuses on descriptive and diagnostic analysis, Data Science opens doors to predictive and prescriptive analysis. This book serves as a gentle, structured introduction to data science and machine learning, emphasizing the development and deployment of predictive models. It offers a comprehensive overview of the Microsoft Azure Machine Learning service, featuring task-oriented descriptions and practical end-to-end examples to help readers start using this service immediately. The content covers all aspects of the service, from data ingress to machine learning application, model evaluation, and deployment as a machine learning web service. The book is designed with minimal dependencies, allowing readers to select chapters freely, with any necessary dependencies clearly indicated. The user-friendly nature of Microsoft’s new service aims to broaden access to Data Science and Machine Learning, enabling readers to swiftly build and deploy advanced predictive models as web services.

• Sprache: Englisch
• Erscheinungsdatum: 2014
• Einband: Paperback