Machine Learning with Microsoft Technologies

Machine Learning with Microsoft Technologies

AngličtinaMäkká väzbaTlač na objednávku
Etaati, Leila
APress
EAN: 9781484236574
Tlač na objednávku
Predpokladané dodanie vo štvrtok, 2. mája 2024
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Podrobné informácie

Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more.

The ability to analyze massive amounts of real-time data and predict future behavior of an organization is critical to its long-term success. Data science, and more specifically machine learning (ML), is today’s game changer and should be a key building block in every company’s strategy. Managing a machine learning process from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set.

Machine Learning with Microsoft Technologies is a demo-driven book that explains how to do machine learning with Microsoft technologies. You will gain valuable insight into designing the best architecture for development, sharing, and deploying a machine learning solution. This book simplifies the process of choosing the right architecture and tools for doing machine learning based on your specific infrastructure needs and requirements.

Detailed content is provided on the main algorithms for supervised and unsupervised machine learning and examples show ML practices using both R and Python languages, the main languages inside Microsoft technologies. 


What You'll Learn

  • Choose the right Microsoft product for your machine learning solution
  • Create and manage Microsoft’s tool environments for development, testing, and production of a machine learning project
  • Implement and deploy supervised and unsupervised learning in Microsoft products
  • Set up Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, and HD Insight to perform machine learning
  • Set up a data science virtual machine and test-drive installed tools, such as Azure ML Workbench, Azure ML Server Developer, Anaconda Python, Jupyter Notebook, Power BI Desktop, Cognitive Services, machine learning and data analytics tools, and more
  • Architect a machine learning solution factoring in all aspects of self service, enterprise, deployment, and sharing

Who This Book Is For
Data scientists, data analysts, developers, architects, and managers who want to leverage machine learning in their products, organization, and services, and make educated, cost-saving decisions about their ML architecture and tool set.

 

EAN 9781484236574
ISBN 1484236572
Typ produktu Mäkká väzba
Vydavateľ APress
Dátum vydania 13. júna 2019
Stránky 365
Jazyk English
Rozmery 254 x 178
Krajina United States
Čitatelia General
Autori Etaati, Leila
Ilustrácie 356 Illustrations, color; 9 Illustrations, black and white; XV, 365 p. 365 illus., 356 illus. in color.
Edícia 1st ed.