Skip to content
TrackPodcasts
artsFeb 23, 202537:20pending

Automated Machine Learning with Microsoft Azure: Build highly accurate and scalable end-to-end AI solutions with Azure AutoML

About this episode

This Book is an excerpt from Dennis Sawyers' Book, "Automated Machine Learning with Microsoft Azure," which provides a comprehensive guide to using automated machine learning (AutoML) on Microsoft's Azure platform. The book covers AutoML concepts, implementation using Azure Machine Learning Studio and Python, building various AutoML models (regression, classification, and forecasting), and deploying these models for real-time and batch scoring solutions. It also explores integrating AutoML with other Microsoft tools like Azure Data Factory and explains strategies for achieving better model performance and gaining end-user trust. Finally, the book includes details about the book's authors and publishing information.

You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary

Get the Book now from Amazon:
https://www.amazon.com/Automated-Machine-Learning-Microsoft-Azure/dp/1800565313?&linkCode=ll1&tag=cvthunderx-20&linkId=ac344acf786ee3ca2826c9baeb85e226&language=en_US&ref_=as_li_ss_tl




Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy

Get every episode summarized

Each time CyberSecurity Summary publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

Automated Machine Learning with Microsoft Azure: Build highly accurate and scalable end-to-end AI solutions with Azure AutoML

CyberSecurity Summary

0:00
37:20

More episodes

More from CyberSecurity Summary

View all episodes →