AutoML: Automated machine learning with Azure Machine Learning



Even as a beginner in data science, you already know that finding the best-performing model by trial and error is time-consuming. So how do you speed up the process? Instead of manually testing and evaluating various configurations to train a machine learning model, you can automate it with automated machine learning, or AutoML. Try out multiple preprocessing transformations and algorithms with your data. For all the details, I recommend taking the Automate machine learning model selection with Azure Machine Learning learning path on Microsoft Learn. Learn how to find the best classification model with AutoML, and use the Python SDK (v2) to configure and run an AutoML job. Prepare your data for classification, configure and run an AutoML experiment, and evaluate and compare models. Whether you're training a classification, regression, or forecasting model, this learning path shows you how to use AutoML to quickly examine various featurization techniques and algorithms. It also helps you to prepare for Exam DP-100: Designing and Implementing a Data Science Solution on Azure to earn the Microsoft Certified: Azure Data Scientist Associate certification. This is a great opportunity to explore automated machine learning with Azure Machine Learning, as you #LearnMicrosoftAI. 





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