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Machine Learning Simplified - From Ideation to Deployment in Minutes with Automated ML

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Azure Machine Learning Courses Artificial Intelligence Courses Data Science Courses Machine Learning Courses Predictive Analytics Courses Hyperparameter Tuning Courses Model Training Courses Automated Machine Learning Courses

Course Description

Overview

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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)

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