Machine Learning Simplified - From Ideation to Deployment in Minutes with Automated ML
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Discover how to leverage automated machine learning to build high-quality models without extensive data science expertise in this 49-minute conference talk from the Toronto Machine Learning Series. Presented by Aniththa Umamahesan, Program Manager at Microsoft, explore the emerging field of Automated ML and its potential to democratize artificial intelligence. Learn how Azure Machine Learning's automated ML capabilities enable developers and new data scientists to create powerful models by simply providing a dataset and minimal configuration parameters. Gain insights into streamlining the process of algorithm selection and hyperparameter tuning, making AI more accessible to a broader range of professionals. Understand how this technology can help executives, analysts, engineers, and developers harness the power of AI for better insights and predictions, even without advanced data science skills.
Syllabus
Machine Learning Simplified from Ideation to Deployment in Minutes with Automated Machine
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
AutoML con AutoSklearn y Google ColabCoursera Project Network via Coursera Automated Machine Learning en Microsoft Power BI
Coursera Project Network via Coursera Automated Machine Learning en Power BI Clasificación
Coursera Project Network via Coursera Natural Language Processing and Capstone Assignment
University of California, Irvine via Coursera Developing Models in Microsoft Azure
Pluralsight