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AI-900: Azure Machine Learning Automated ML: What is it and how to use it?

Learn what is automated ML or AutoML in Azure Machine Learning, how it works, what are its benefits, and how to use it for various machine learning tasks.

Question

Azure Machine Learning includes an automated machine learning capability that leverages the scalability of cloud compute to automatically try multiple pre-processing techniques and model-training algorithms in parallel to find the best performing supervised machine learning model for your data. True or False?

A. True
B. False

Answer

A. True

Explanation

Azure Machine Learning includes an automated machine learning capability that leverages the scalability of cloud compute to automatically try multiple pre-processing techniques and model-training algorithms in parallel to find the best performing supervised machine learning model for your data.

The correct answer is A. True.

Azure Machine Learning includes an automated machine learning capability that leverages the scalability of cloud compute to automatically try multiple pre-processing techniques and model-training algorithms in parallel to find the best performing supervised machine learning model for your data. This is also known as automated ML or AutoML.

Automated ML empowers users, with or without data science expertise, to identify an end-to-end machine learning pipeline for any problem, achieving a high quality machine learning model while spending far less of their time. Automated ML in Azure Machine Learning is based on a breakthrough from our Microsoft Research division.

Automated ML supports a variety of machine learning tasks, such as classification, regression, forecasting, computer vision, and natural language processing. Users can choose whether they want a code-first experience or a no-code studio web experience to build and deploy their models. Automated ML also provides transparency and trust in the models by using model interpretability and responsible machine learning solutions.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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