Azure Machine Learning for Data Scientists
Learn to create predictive models with Azure Machine Learning without writing code, from automated ML to regression, classification, and clustering.
Learn to create predictive models with Azure Machine Learning without writing code, from automated ML to regression, classification, and clustering.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Microsoft Azure Data Scientist Associate (DP-100) Exam Prep Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.3
(159 ratings)
14,141 already enrolled
Instructors:
English
Powered by
What you'll learn
Identify different types of machine learning models and their applications
Use Azure Machine Learning's automated capabilities to train and deploy predictive models
Create regression models to predict numeric values using Azure ML designer
Develop classification models to categorize data into distinct classes
Build clustering models to group similar entities based on their features
Deploy machine learning models as predictive services without writing code
Skills you'll gain
This course includes:
10 Hours PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This course focuses on using Azure Machine Learning to create and publish predictive models without writing code. Students learn how to leverage automated machine learning capabilities to train and deploy models efficiently. The curriculum covers different types of machine learning models including regression for numeric predictions, classification for categorizing data, and clustering for grouping similar entities. Through hands-on exercises, learners practice using the Azure Machine Learning designer to explore data, train models, evaluate their performance, create inference pipelines, and deploy predictive services. The course is part of the Microsoft Azure Data Scientist Associate (DP-100) Exam Prep Professional Certificate, preparing students for cloud-scale machine learning operations on the Azure platform.
Use Automated Machine Learning in Azure Machine Learning
Module 1 · 2 Hours to complete
Create a Regression Model with Azure Machine Learning Designer
Module 2 · 2 Hours to complete
Create a Classification Model with Azure AI
Module 3 · 2 Hours to complete
Create a Clustering Model with Azure AI
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Empowering Individuals and Organizations Through Technology
Microsoft's mission is "to empower every person and every organization on the planet to achieve more," reflecting its commitment to leveraging technology for global empowerment. The company aims to drive digital transformation through an integrated cloud approach, creating a robust platform that enhances productivity and accessibility for users worldwide. Its vision statement emphasizes the goal of democratizing artificial intelligence, ensuring that AI technologies are accessible and beneficial for everyone. This focus on empowerment and inclusivity underpins Microsoft's strategies and product development, positioning it as a leader in innovation within the technology sector. The company has consistently pursued excellence by fostering a culture of innovation, diversity, and corporate social responsibility, ultimately aiming to improve quality of life and facilitate progress across various fields, including education, healthcare, and business.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.3 course rating
159 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.