Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project

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. It simplifies the process of choosing the right architecture and tools for doing machine learning based on your specific infrastructure needs and requirements.

\n Format: Paperback / softback
\n Length: 365 pages
\n Publication date: 13 June 2019
\n Publisher: APress
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This comprehensive guide teaches you how to leverage Microsoft technologies for predictive, descriptive, and prescriptive analyses. Whether you're a data scientist, analyst, or business professional, this book will empower you to unlock the full potential of machine learning and drive meaningful business outcomes.

Machine learning (ML) has become an indispensable tool in todays data-driven world, enabling organizations to analyze massive amounts of real-time data and make informed decisions. With the rise of cloud computing and big data, managing a machine learning process from business understanding, data acquisition and cleaning, modeling, and deployment in each tool has become a valuable skill set.

Machine Learning with Microsoft Technologies is a demo-driven book that provides a comprehensive guide to doing machine learning with Microsoft technologies. It simplifies the process of choosing the right architecture and tools for development, sharing, and deploying a machine learning solution. Detailed content is provided on the main algorithms for supervised and unsupervised machine learning, along with examples that demonstrate ML practices using both R and Python languages, the main languages inside Microsoft technologies.

In this book, you will learn how to:

Choose the right Microsoft product for your machine learning solution: Understand the different Microsoft products available for machine learning, such as Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, and HD Insight, and choose the one that best fits your infrastructure needs and requirements.

Create and manage Microsofts tool environments for development, testing, and production of a machine learning project: Set up and configure Microsofts tool environments, such as Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, and HD Insight, to perform machine learning tasks effectively.

Implement and deploy supervised and unsupervised learning in Microsoft products: Learn how to implement and deploy supervised and unsupervised learning algorithms in Microsoft products, such as Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, and HD Insight.

Set up Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, and HD Insight to perform machine learning: Learn how to use Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, and HD Insight to perform machine learning tasks, such as data visualization, model training, and deployment.

By leveraging Microsoft technologies for machine learning, you can unlock the full potential of your data and drive meaningful business outcomes. Whether you're looking to improve customer engagement, optimize operations, or make data-driven decisions, this book will provide you with the skills and knowledge to succeed in the world of machine learning.

So, whether you're a beginner or an experienced data professional, Machine Learning with Microsoft Technologies is the ultimate guide to doing machine learning with Microsoft technologies. Don't miss out on this opportunity to stay ahead of the curve and gain a competitive advantage in your industry.

\n Weight: 740g\n
Dimension: 176 x 253 x 23 (mm)\n
ISBN-13: 9781484236574\n
Edition number: 1st ed.\n