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Hands-On Machine Learning with Azure

You're reading from  Hands-On Machine Learning with Azure

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781789131956
Pages 340 pages
Edition 1st Edition
Languages
Authors (5):
Thomas K Abraham Thomas K Abraham
Profile icon Thomas K Abraham
Parashar Shah Parashar Shah
Profile icon Parashar Shah
Jen Stirrup Jen Stirrup
Profile icon Jen Stirrup
Lauri Lehman Lauri Lehman
Profile icon Lauri Lehman
Anindita Basak Anindita Basak
Profile icon Anindita Basak
View More author details

Table of Contents (14) Chapters

Preface 1. AI Cloud Foundations 2. Data Science Process 3. Cognitive Services 4. Bot Framework 5. Azure Machine Learning Studio 6. Scalable Computing for Data Science 7. Machine Learning Server 8. HDInsight 9. Machine Learning with Spark 10. Building Deep Learning Solutions 11. Integration with Other Azure Services 12. End-to-End Machine Learning 13. Other Books You May Enjoy

Machine learning with Azure Databricks

By adopting ML, enterprises are looking to improve their business, or even radically transform it by using data as the lifeblood for digital transformation. Databricks empowers companies to develop their data science competency quickly, and turn that into a competitive advantage by providing a fully integrated unified analytics platform in Azure.

Enterprises want to leverage the treasure trove of data they have collected historically. Organizations have begun to collect more data recently. This includes data in a variety of forms, including new customer data in the form of clickstreams, web logs, and sensor data from Internet of Things devices and machines, as well as audio, images, and videos.

Using insights from this data, enterprises across various verticals can improve business outcomes in many different ways that impact our daily lives...

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