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.
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이 강좌에 대하여
General programming knowledge or experience would be beneficial. You need to have basic computer literacy and proficiency in the English language.
귀하가 습득할 기술
- Describe capabilities of no-code machine learning with Azure Machine Learning studio
- Identify core tasks in creating a machine learning solution
- Describe core machine learning concepts
- Identify common machine learning types
General programming knowledge or experience would be beneficial. You need to have basic computer literacy and proficiency in the English language.
제공자:

Microsoft
Our goal at Microsoft is to empower every individual and organization on the planet to achieve more.
강의 계획표 - 이 강좌에서 배울 내용
Use Automated Machine Learning in Azure Machine Learning
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 module, you'll learn how to identify different kinds of machine learning model and how to use the automated machine learning capability of Azure Machine Learning to train and deploy a predictive model.
Create a Regression Model with Azure Machine Learning Designer
Regression is a supervised machine learning technique used to predict numeric values. in this module, you will learn how to create regression models using Azure Machine Learning designer.
Create a Classification Model with Azure AI
Classification is a supervised machine learning technique used to predict categories or classes. In this module, you will learn how to create classification models using Azure Machine Learning designer.
Create a Clustering Model with Azure AI
Clustering is an unsupervised machine learning technique used to group similar entities based on their features. In this module, you will learn how to create clustering models using Azure Machine Learning designer.
검토
- 5 stars80.89%
- 4 stars12.35%
- 3 stars3.37%
- 2 stars2.24%
- 1 star1.12%
MICROSOFT AZURE MACHINE LEARNING의 최상위 리뷰
This course need to be rework as Azure has changed/ modified its GUI a lot, otherwise it is very good.
beginner friendly but have to make sure that you posses fundamental statistical knowledge
Course is good for the ML people who wants to try their hands on Microsoft Azure.
excellent course. it will better than if student don't have to register in Azure portal as GDP that GDP don't need to use credit card to done their lab.
Microsoft Azure AI Fundamentals AI-900 Exam Prep 특화 과정 정보
This Specialization is intended for anyone interested in preparing for the Certified AI-900 Microsoft Azure AI Fundamentals Exam. This program consists of 5 courses to help prepare you to take the certification exam.

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