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.
Ce cours fait partie de la Spécialisation Microsoft Azure AI Fundamentals AI-900 Exam Prep
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Cours 2 sur 5 dans le
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General programming knowledge or experience would be beneficial. You need to have basic computer literacy and proficiency in the English language.
Approx. 11 heures pour terminer
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Sous-titres : Anglais
Compétences que vous acquerrez
- 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
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 5 dans le
Niveau débutant
General programming knowledge or experience would be beneficial. You need to have basic computer literacy and proficiency in the English language.
Approx. 11 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Microsoft
Our goal at Microsoft is to empower every individual and organization on the planet to achieve more.
Programme de cours : ce que vous apprendrez dans ce cours
3 heures pour terminer
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.
3 heures pour terminer
3 vidéos (Total 5 min), 8 lectures, 3 quiz
3 heures pour terminer
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.
3 heures pour terminer
2 vidéos (Total 2 min), 8 lectures, 3 quiz
3 heures pour terminer
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.
3 heures pour terminer
2 vidéos (Total 2 min), 8 lectures, 3 quiz
3 heures pour terminer
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.
3 heures pour terminer
2 vidéos (Total 2 min), 9 lectures, 3 quiz
Avis
- 5 stars80,89 %
- 4 stars12,35 %
- 3 stars3,37 %
- 2 stars2,24 %
- 1 star1,12 %
Meilleurs avis pour MICROSOFT AZURE MACHINE LEARNING
par AJ2 févr. 2022
This course need to be rework as Azure has changed/ modified its GUI a lot, otherwise it is very good.
par SD22 févr. 2022
Course is good for the ML people who wants to try their hands on Microsoft Azure.
par NM11 oct. 2021
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.
par ZA7 oct. 2021
beginner friendly but have to make sure that you posses fundamental statistical knowledge
À propos du Spécialisation Microsoft Azure AI Fundamentals AI-900 Exam Prep
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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