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Build Machine Learning Models with Azure Machine Learning Designer
Dayo Bamikole
Dayo Bamikole
Welcome to Build ML Models with Azure ML Designer. This course will teach you how to leverage a user friendly and visually appealing tool to accomplish Machine Learning Projects.
Read more
Welcome to Build ML Models with Azure ML Designer. This course will teach you how to leverage a user friendly and visually appealing tool to accomplish Machine Learning Projects.
Read more
Welcome to Build ML Models with Azure ML Designer. This course will teach you how to leverage a user friendly and visually appealing tool to accomplish Machine Learning Projects.
Creating Machine Learning Projects can be a bit tasking due to the high barrier of understanding Machine Learning languages and ability to debug when issue arise. In this course, Building Machine Learning Models with Azure Machine Learning Designer, you’ll learn to use drag and drop features to create an end-to-end machine learning pipeline for your ML Models. First, you’ll explore how to setup your ML pipeline in the Azure Machine Learning Studio. Then, you’ll learn how to ingest and transform different datasets formats. Finally, you’ll learn how to create models and make predictions in preparation to deploy the model. When you’re finished with this course, you’ll have the skills and knowledge of Building Models with Azure Machine Learning Designer needed to create effective Machine Learning Models.
Register for this course and see more details by visiting:
OpenCourser.com/course/2fof3m/build
What's inside
Syllabus
Course Overview
Setting up a Pipeline with Azure Machine Learning Designer
Ingest Data in a Designer Pipeline
Define a Pipeline Data Flow with Designer Modules
Read more
Syllabus
Course Overview
Setting up a Pipeline with Azure Machine Learning Designer
Ingest Data in a Designer Pipeline
Define a Pipeline Data Flow with Designer Modules
Read more
Applying Machine Learning Algorithms
Publish Machine Learning Models in Azure Machine Learning Designer
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches to leverage a user-friendly tool, Azure ML Designer, to create end-to-end machine learning pipelines, making ML project creation more accessible
Explores how to set up an ML pipeline in Azure Machine Learning Studio, ingest and transform various data formats, create models, and make predictions in preparation for model deployment
Taught by Dayo Bamikole, an experienced instructor in the field of machine learning
Provides a strong foundation for beginners seeking to understand how to build machine learning models using Azure ML Designer
Offers a series of clear and concise modules that guide learners through the process of building machine learning models with Azure ML Designer
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Activities
Coming soon
We're preparing activities for
Build Machine Learning Models with Azure Machine Learning Designer.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Build Machine Learning Models with Azure Machine Learning Designer will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer collaborates with Data Scientists and Software Engineers to bring Machine Learning models into production. This course helps build a foundation for Machine Learning Engineers by teaching how to use Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Data Analyst
Data Analyst
A Data Analyst collects, processes, and analyzes data to identify trends and patterns. This course helps build a foundation for Data Analysts by teaching how to use Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Data Scientist
Data Scientist
A Data Scientist develops predictive models to solve business problems. This course teaches the skills necessary to use a user friendly and visually appealing tool to accomplish Machine Learning projects. This course may be helpful for aspiring Data Scientists seeking to gain experience with Azure Machine Learning Designer.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and identifies areas for improvement. This course may be useful for Business Analysts who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Software Engineer
Software Engineer
A Software Engineer designs, develops, tests, and maintains software systems. This course may be useful for Software Engineers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course may be useful for Financial Analysts who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Product Manager
Product Manager
A Product Manager develops and manages products. This course may be useful for Product Managers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Operations Manager
Operations Manager
An Operations Manager oversees the day-to-day operations of a business. This course may be useful for Operations Managers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Consultant
Consultant
A Consultant provides advice and guidance to clients on a variety of topics. This course may be useful for Consultants who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Doctor
Doctor
A Doctor diagnoses and treats patients. This course may be useful for Doctors who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Entrepreneur
Entrepreneur
An Entrepreneur starts and runs their own business. This course may be useful for Entrepreneurs who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Teacher
Teacher
A Teacher educates students in a variety of subjects. This course may be useful for Teachers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Marketing Manager
Marketing Manager
A Marketing Manager develops and executes marketing campaigns. This course may be useful for Marketing Managers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Researcher
Researcher
A Researcher conducts research in a variety of fields. This course may be useful for Researchers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
Sales Manager
Sales Manager
A Sales Manager leads and motivates a sales team. This course may be useful for Sales Managers who want to gain experience with Azure Machine Learning Designer, a user friendly and visually appealing tool for accomplishing Machine Learning projects.
For more career information including salaries, visit:
OpenCourser.com/course/2fof3m/build
Reading list
We've selected nine 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
Build Machine Learning Models with Azure Machine Learning Designer.
Comprehensive guide to machine learning using the Python programming language. It covers a wide range of topics, from data preparation to model evaluation, and provides hands-on examples.
Provides a comprehensive overview of machine learning algorithms and applications. It valuable resource for those who want to understand the different types of machine learning algorithms and how they can be used to solve real-world problems.
Provides a gentle introduction to machine learning, making it a great starting point for those new to the field. It covers the basics of machine learning, including supervised and unsupervised learning, and provides hands-on examples in Python.
Provides a comprehensive overview of machine learning using the R programming language. It covers a wide range of topics, from data preparation to model evaluation, and provides hands-on examples.
Provides a detailed overview of a wide range of machine learning algorithms. It valuable resource for those who want to understand the different types of machine learning algorithms and how they work.
Provides a practical guide to machine learning for hackers. It covers a wide range of topics, from data collection to model deployment, and valuable resource for those who want to learn how to use machine learning for real-world tasks.
Provides a comprehensive overview of statistical learning with sparsity, a subfield of machine learning that is concerned with learning models that are sparse, meaning that they have a small number of non-zero parameters.
Provides a comprehensive overview of reinforcement learning, a subfield of machine learning that is concerned with learning how to take actions in an environment in order to maximize a reward.
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Provides a comprehensive overview of deep learning, a subfield of machine learning that has been used to achieve state-of-the-art results in a wide range of tasks, such as image recognition and natural language processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2fof3m/build
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Time
69 hours
Level
Intermediate
Via
Pluralsight
Instructor
Dayo Bamikole
Language
English
Good to know
Teaches to leverage a user-friendly tool, Azure ML Designer, to create end-to-end machine learning pipelines, making ML project creation more accessible
Explores how to set up an ML pipeline in Azure Machine Learning Studio, ingest and transform various data formats, create models, and make predictions in preparation for model deployment
Taught by Dayo Bamikole, an experienced instructor in the field of machine learning
Provides a strong foundation for beginners seeking to understand how to build machine learning models using Azure ML Designer
Offers a series of clear and concise modules that guide learners through the process of building machine learning models with Azure ML Designer
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