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Kevin Hu
With artificial intelligence and machine learning becoming ubiquitous, any organization can access these technologies easily. As AI/ML becomes widely adopted, expertise on Azure Machine Learning will be high in demand. Gone are the days when you would need an advanced degree to practice machine learning! This course introduces terminology used in machine learning, along with all of the steps in the process from start to finish. We’ll also learn how to work within the Azure Machine Learning studio to create a simple machine learning model. After completing the course, you'll be able to: * talk about the relevance of machine learning in today’s technological landscape * understand the basic concepts, terms, and steps of the machine learning process * build a simple machine learning model in the Azure Machine Learning studio. No prior coding experience is required, and while it helps to have some familiarity with Azure, the course material will be a fit for anyone who is interested in machine learning but not sure how to get started.
Register for this course and see more details by visiting:
OpenCourser.com/course/go1rmi/getting
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Introduces basic machine learning concepts and their real-world applications
Provides a comprehensive overview of the machine learning process from start to finish
Suitable for individuals with no prior programming or Azure experience
Designed for those interested in exploring machine learning but unsure of where to start
Taught by recognized industry experts with experience in machine learning
Provides hands-on experience through practical examples and case studies
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Save Getting Started with Azure Machine Learning Studio to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Getting Started with Azure Machine Learning Studio with these
activities:
Review Basic Statistics
Show steps
Review the basics of statistics, probability, and mathematics to strengthen your foundation for this course.
Browse courses on
Statistics
Show steps
-
Review the concepts of probability and statistics.
-
Practice solving basic probability and statistics problems.
Practice Coding in Azure Machine Learning Studio
Show steps
Complete coding exercises and practice assignments in Azure Machine Learning Studio to improve your coding skills and understanding of the platform.
Browse courses on
Coding
Show steps
-
Complete the coding exercises provided in the course materials.
-
Create your own coding projects using Azure Machine Learning Studio.
Attend a Workshop on Azure Machine Learning
Show steps
Attend a workshop or online training session on Azure Machine Learning to gain practical experience and learn from experts.
Browse courses on
Azure Machine Learning
Show steps
-
Register and attend the workshop.
-
Participate actively in discussions and exercises.
-
Research and identify relevant Azure Machine Learning workshops.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write a Blog Post on Machine Learning in the Cloud
Show steps
Write a blog post or article that explains the concepts and applications of machine learning in the cloud to reinforce your understanding and share your knowledge.
Show steps
-
Choose a specific topic related to machine learning in the cloud.
-
Research and gather information on the topic.
-
Organize and outline your content.
-
Write the blog post in a clear and engaging manner.
Volunteer as a Mentor for Aspiring Machine Learning Professionals
Show steps
Volunteer as a mentor for aspiring machine learning professionals to share your knowledge, guide their development, and make a positive impact in the field.
Browse courses on
Mentoring
Show steps
-
Identify organizations or platforms that connect mentors with aspiring machine learning professionals.
-
Create a profile and express your interest in mentoring.
-
Connect with mentees and provide guidance and support.
Build a Machine Learning Model Using Azure Machine Learning
Show steps
Develop a machine learning model using Azure Machine Learning to gain hands-on experience in building and deploying models.
Browse courses on
Machine Learning Model
Show steps
-
Identify a real-world problem that can be solved using machine learning.
-
Collect and prepare the necessary data.
-
Build a machine learning model using Azure Machine Learning Studio.
-
Evaluate and refine the model.
-
Deploy the model and monitor its performance.
Contribute to an Open-Source Machine Learning Project
Show steps
Contribute to an open-source machine learning project to gain practical experience, learn from others, and build your portfolio.
Browse courses on
Machine Learning
Show steps
-
Identify an open-source machine learning project that aligns with your interests.
-
Review the project's documentation and contribute in a meaningful way.
-
Collaborate with other contributors and seek feedback.
-
Document your contributions and share your learnings.
Review Basic Statistics
Show steps
Review the basics of statistics, probability, and mathematics to strengthen your foundation for this course.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review the concepts of probability and statistics.
- Practice solving basic probability and statistics problems.
Practice Coding in Azure Machine Learning Studio
Show steps
Complete coding exercises and practice assignments in Azure Machine Learning Studio to improve your coding skills and understanding of the platform.
Browse courses on
Coding
Show steps
Show steps
Show steps
- Complete the coding exercises provided in the course materials.
- Create your own coding projects using Azure Machine Learning Studio.
Attend a Workshop on Azure Machine Learning
Show steps
Attend a workshop or online training session on Azure Machine Learning to gain practical experience and learn from experts.
Browse courses on
Azure Machine Learning
Show steps
Show steps
Show steps
- Register and attend the workshop.
- Participate actively in discussions and exercises.
- Research and identify relevant Azure Machine Learning workshops.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write a Blog Post on Machine Learning in the Cloud
Show steps
Write a blog post or article that explains the concepts and applications of machine learning in the cloud to reinforce your understanding and share your knowledge.
Show steps
Show steps
Show steps
- Choose a specific topic related to machine learning in the cloud.
- Research and gather information on the topic.
- Organize and outline your content.
- Write the blog post in a clear and engaging manner.
Volunteer as a Mentor for Aspiring Machine Learning Professionals
Show steps
Volunteer as a mentor for aspiring machine learning professionals to share your knowledge, guide their development, and make a positive impact in the field.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify organizations or platforms that connect mentors with aspiring machine learning professionals.
- Create a profile and express your interest in mentoring.
- Connect with mentees and provide guidance and support.
Build a Machine Learning Model Using Azure Machine Learning
Show steps
Develop a machine learning model using Azure Machine Learning to gain hands-on experience in building and deploying models.
Browse courses on
Machine Learning Model
Show steps
Show steps
Show steps
- Identify a real-world problem that can be solved using machine learning.
- Collect and prepare the necessary data.
- Build a machine learning model using Azure Machine Learning Studio.
- Evaluate and refine the model.
- Deploy the model and monitor its performance.
Contribute to an Open-Source Machine Learning Project
Show steps
Contribute to an open-source machine learning project to gain practical experience, learn from others, and build your portfolio.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Identify an open-source machine learning project that aligns with your interests.
- Review the project's documentation and contribute in a meaningful way.
- Collaborate with other contributors and seek feedback.
- Document your contributions and share your learnings.
Career center
Learners who complete Getting Started with Azure Machine Learning Studio will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst uses their knowledge of data analysis tools and techniques to examine data. They also interpret large amounts of data and present these findings to stakeholders. This course will help build a foundation in machine learning, a skill in high demand for Data Analysts. Using the concepts taught in this course, you may parlay these newfound skills into a job in data analytics, even without prior coding experience.
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will design and build machine learning models. No coding experience is needed to get started with this course, but the skills you will learn can help you build a foundation in machine learning engineering.
Data Scientist
Data Scientist
Data Scientists use a combination of analytical and technical skills to draw conclusions from data, using tools such as machine learning and AI. Familiarity with machine learning is essential for this role, and this course can assist you in cultivating this expertise.
Business Analyst
Business Analyst
Individuals in this role use data, both qualitative and quantitative, to examine a business and make data-driven recommendations to improve outcomes. With the use of machine learning and AI becoming pervasive, learning the basics of these technologies will help you excel in a business analyst role.
Data Engineer
Data Engineer
A Data Engineer is responsible for the design and implementation of data pipelines. Familiarity with machine learning is an emerging area of focus in this field, and this course will help you cultivate this expertise.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design and build AI systems. Familiarity with the basic concepts of machine learning will give you an advantage in pursuing a career as an AI Engineer. This course may be a useful starting place for building your foundation in the subject.
Information Technology Consultant
Information Technology Consultant
Information Technology Consultants help businesses or organizations with technology or IT-related issues. Some familiarity with machine learning is useful for Information Technology Consultants, and this course can provide a foundation in the subject.
Information Technology Architect
Information Technology Architect
Information Technology Architects design, build, and maintain computer and information systems. This course will help you build a foundation in machine learning, a skill that is increasingly important for IT Architects.
Statistician
Statistician
Statisticians use mathematics and statistical analysis to extract findings from data. Expertise in machine learning is quickly becoming a crucial skill, and this course will help build a foundation in this subject.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data for investment purposes. This course will help you build a foundation in machine learning, a valuable skill for professionals in this field.
Computer Scientist
Computer Scientist
Computer Scientists use their knowledge of computer science theory and algorithms to design and build software systems. This course will help you build a foundation in machine learning, an essential skill for many computer science roles.
Software Developer
Software Developer
Software Developers design, write, and maintain applications and software. Although coding experience is not required to take this course, the basics of machine learning taught in this course may prove useful in career advancement for Software Developers.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts design and develop data visualizations to communicate insights. Knowledge of machine learning will enhance your skills in advanced data visualization. This course can help provide a basis in machine learning for this role.
Data Mining Analyst
Data Mining Analyst
Data Mining Analysts use data mining techniques to extract knowledge from data. Familiarity with machine learning is very useful for individuals in this role, and this course can help provide a foundation in the subject.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to understand and improve marketing campaigns. As machine learning becomes more prevalent in marketing, it will become a useful skill. This course can help you build a foundation in this subject.
For more career information including salaries, visit:
OpenCourser.com/course/go1rmi/getting
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Getting Started with Azure Machine Learning Studio.
Valuable resource to learn programming in Python and implementing popular machine learning algorithms.
Provides practical examples and case studies on implementing machine learning models using popular libraries.
Save
Widely recognized comprehensive reference for deep learning theory and applications.
Classic textbook that covers a wide range of machine learning algorithms and techniques.
Practical guide to implementing machine learning algorithms using Python.
Save
Provides an algorithmic approach to machine learning, covering both supervised and unsupervised learning methods.
Save
Provides insights into applications and use cases of machine learning in business scenarios.
Provides real-world case studies and examples of how artificial intelligence is being used in various industries.
Focuses on using the R programming language for machine learning tasks.
Discusses the importance of data science in business decision-making and provides practical guidance on implementing data science projects.
Offers a more theoretical and mathematical approach to machine learning.
Provides a broad coverage of statistical and probabilistic methods in machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/go1rmi/getting
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Level
Intermediate
Via
Pluralsight
Instructor
Kevin Hu
Language
English
Good to know
Introduces basic machine learning concepts and their real-world applications
Provides a comprehensive overview of the machine learning process from start to finish
Suitable for individuals with no prior programming or Azure experience
Designed for those interested in exploring machine learning but unsure of where to start
Taught by recognized industry experts with experience in machine learning
Provides hands-on experience through practical examples and case studies
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