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Microsoft Azure Machine Learning for Data Scientists(으)로 돌아가기

Microsoft의 Microsoft Azure Machine Learning for Data Scientists 학습자 리뷰 및 피드백

43개의 평가

강좌 소개

Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code. This is the second course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a cloud-scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions, and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning....
필터링 기준:

Microsoft Azure Machine Learning for Data Scientists의 6개 리뷰 중 1~6

교육 기관: Pedro J V

2022년 3월 23일

교육 기관: Epsibha G

2022년 8월 22일

교육 기관: Priyadharshini R

2022년 10월 10일

교육 기관: Ulrich H

2022년 8월 29일

교육 기관: Ankit I

2022년 6월 13일

교육 기관: Parag V S

2022년 10월 7일