We may earn an affiliate commission when you visit our partners.
Capstone Build Your Own Machine Learning Portfolio
Matt Maybeno,
Bradford Tuckfield,
Soham Chatterjee,
Charles Landau,
and
Joseph Nicolls
Matt Maybeno,
Bradford Tuckfield,
Soham Chatterjee,
Charles Landau,
and
Joseph Nicolls
Register for this course and see more details by visiting:
OpenCourser.com/course/7wyg1i/capstone
What's inside
Syllabus
Put your Machine Learning Engineer skills to the test by solving a real-world problem using all that you have learned throughout the program.
Submit a Project Proposal for the Project that you selected.
Once your project proposal is approved now it is time to actually build out the project.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills and knowledge to solve real-world problems in Machine Learning Engineering
Strengthens an existing foundation for intermediate learners
Taught by instructors with industry experience
Examines real-world problems, which is highly relevant to Machine Learning Engineering
Save this course
Save Capstone Build Your Own Machine Learning Portfolio to your list so you can find it easily later:
Save
Save
Activities
Coming soon
We're preparing activities for
Capstone Build Your Own Machine Learning Portfolio.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Capstone Build Your Own Machine Learning Portfolio will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
The Capstone Build Your Own Machine Learning Portfolio course is a perfect fit for aspiring Machine Learning Engineers. This course provides hands-on experience in solving real-world problems using Machine Learning techniques. By completing this course, you will build a portfolio of projects that showcase your skills and knowledge, making you a competitive candidate for Machine Learning Engineer roles.
Data Scientist
Data Scientist
The Capstone Build Your Own Machine Learning Portfolio course can be useful for aspiring Data Scientists. This course provides a strong foundation in Machine Learning concepts and techniques, which are essential for success in Data Science. By completing this course, you will gain the skills and knowledge needed to analyze data, build Machine Learning models, and communicate insights to stakeholders.
Software Engineer
Software Engineer
The Capstone Build Your Own Machine Learning Portfolio course may be helpful for aspiring Software Engineers who are interested in specializing in Machine Learning. This course provides a solid understanding of Machine Learning algorithms and techniques, which can be applied to a variety of software development projects. By completing this course, you will gain the skills and knowledge needed to build and maintain Machine Learning systems.
Data Analyst
Data Analyst
The Capstone Build Your Own Machine Learning Portfolio course can be useful for aspiring Data Analysts who want to develop their Machine Learning skills. This course provides a comprehensive overview of Machine Learning concepts and techniques, which are increasingly used in data analysis. By completing this course, you will gain the skills and knowledge needed to extract insights from data using Machine Learning techniques.
Statistician
Statistician
The Capstone Build Your Own Machine Learning Portfolio course may be helpful for aspiring Statisticians who want to gain an understanding of Machine Learning. This course provides a basic introduction to Machine Learning concepts and techniques, which can be applied to a variety of statistical problems. By completing this course, you will gain the skills and knowledge needed to use Machine Learning techniques to analyze data.
Risk Analyst
Risk Analyst
The Capstone Build Your Own Machine Learning Portfolio course may be helpful for aspiring Risk Analysts who want to develop their Machine Learning skills. This course provides a solid foundation in Machine Learning concepts and techniques, which are increasingly used in risk analysis. By completing this course, you will gain the skills and knowledge needed to apply Machine Learning techniques to risk analysis problems.
Financial Analyst
Financial Analyst
The Capstone Build Your Own Machine Learning Portfolio course may be helpful for aspiring Financial Analysts who want to develop their Machine Learning skills. This course provides a solid foundation in Machine Learning concepts and techniques, which are increasingly used in financial analysis. By completing this course, you will gain the skills and knowledge needed to apply Machine Learning techniques to financial data.
Business Analyst
Business Analyst
The Capstone Build Your Own Machine Learning Portfolio course may be helpful for aspiring Business Analysts who want to gain an understanding of Machine Learning. This course provides a basic introduction to Machine Learning concepts and techniques, which can be applied to a variety of business problems. By completing this course, you will gain the skills and knowledge needed to identify opportunities for Machine Learning applications in a business setting.
Quantitative Analyst
Quantitative Analyst
The Capstone Build Your Own Machine Learning Portfolio course may be helpful for aspiring Quantitative Analysts who want to develop their Machine Learning skills. This course provides a solid foundation in Machine Learning concepts and techniques, which are increasingly used in quantitative analysis. By completing this course, you will gain the skills and knowledge needed to apply Machine Learning techniques to financial data.
Actuary
Actuary
The Capstone Build Your Own Machine Learning Portfolio course may be helpful for aspiring Actuaries who want to develop their Machine Learning skills. This course provides a solid foundation in Machine Learning concepts and techniques, which are increasingly used in actuarial science. By completing this course, you will gain the skills and knowledge needed to apply Machine Learning techniques to actuarial problems.
Market Researcher
Market Researcher
The Capstone Build Your Own Machine Learning Portfolio course may be helpful for aspiring Market Researchers who want to develop their Machine Learning skills. This course provides a solid foundation in Machine Learning concepts and techniques, which are increasingly used in market research. By completing this course, you will gain the skills and knowledge needed to apply Machine Learning techniques to market research problems.
Operations Research Analyst
Operations Research Analyst
The Capstone Build Your Own Machine Learning Portfolio course may be helpful for aspiring Operations Research Analysts who want to develop their Machine Learning skills. This course provides a solid foundation in Machine Learning concepts and techniques, which are increasingly used in operations research. By completing this course, you will gain the skills and knowledge needed to apply Machine Learning techniques to operations research problems.
Data Architect
Data Architect
The Capstone Build Your Own Machine Learning Portfolio course may be helpful for aspiring Data Architects who want to develop their Machine Learning skills. This course provides a solid foundation in Machine Learning concepts and techniques, which are increasingly used in data architecture. By completing this course, you will gain the skills and knowledge needed to apply Machine Learning techniques to data architecture problems.
Product Manager
Product Manager
The Capstone Build Your Own Machine Learning Portfolio course may be helpful for aspiring Product Managers who want to develop their Machine Learning skills. This course provides a basic introduction to Machine Learning concepts and techniques, which can be applied to a variety of product management tasks. By completing this course, you will gain the skills and knowledge needed to use Machine Learning techniques to improve product development.
Project Manager
Project Manager
The Capstone Build Your Own Machine Learning Portfolio course may be helpful for aspiring Project Managers who want to develop their Machine Learning skills. This course provides a basic introduction to Machine Learning concepts and techniques, which can be applied to a variety of project management tasks. By completing this course, you will gain the skills and knowledge needed to use Machine Learning techniques to improve project outcomes.
For more career information including salaries, visit:
OpenCourser.com/course/7wyg1i/capstone
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
Capstone Build Your Own Machine Learning Portfolio.
Provides a comprehensive treatment of statistical learning methods for high-dimensional data. It covers topics such as sparsity, regularization, and model selection. It great resource for researchers who want to learn about the latest advances in statistical learning.
Save
Comprehensive reference on deep learning, covering the theoretical foundations as well as the practical aspects of building and training deep learning models. It must-read for anyone who wants to learn about deep learning.
Provides a comprehensive introduction to machine learning, covering the basics of supervised and unsupervised learning, as well as more advanced topics such as deep learning and natural language processing. It valuable reference for both beginners and experienced practitioners.
Provides a theoretical foundation for machine learning, covering the Bayesian and optimization perspectives. It great resource for students and researchers who want to understand the underlying principles of machine learning.
Provides a comprehensive introduction to convex optimization. It covers the basics of convex optimization, as well as more advanced topics such as duality and conic programming. It great resource for students and researchers who want to learn about convex optimization.
Provides a comprehensive introduction to information theory, inference, and learning algorithms. It covers the basics of these topics, as well as more advanced topics such as Bayesian inference and decision theory. It great resource for students and researchers who want to learn about these topics.
Provides a comprehensive introduction to pattern recognition and machine learning. It covers the basics of these topics, as well as more advanced topics such as neural networks and support vector machines. It great resource for students and researchers who want to learn about these topics.
Provides a comprehensive introduction to reinforcement learning. It covers the basics of reinforcement learning, as well as more advanced topics such as deep reinforcement learning and multi-agent reinforcement learning. It great resource for students and researchers who want to learn about reinforcement learning.
Save
Provides a comprehensive introduction to the mathematics of machine learning. It covers topics such as linear algebra, calculus, and probability. It great resource for students and researchers who want to understand the mathematical foundations of machine learning.
Provides a practical introduction to machine learning using Python. It covers the basics of supervised and unsupervised learning, as well as more advanced topics such as deep learning and natural language processing. It great resource for beginners who want to learn how to apply machine learning in practice.
Save
Provides a comprehensive introduction to computer vision. It covers the basics of computer vision, as well as more advanced topics such as object detection and tracking, and image segmentation. It great resource for students and researchers who want to learn about computer vision.
Provides a comprehensive introduction to natural language processing using Python. It covers the basics of natural language processing, as well as more advanced topics such as machine translation and text summarization. It great resource for students and researchers who want to learn about natural language processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/7wyg1i/capstone
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Time
80640 hours
Level
Intermediate
Via
Udacity
Instructors
Matt Maybeno
Bradford Tuckfield
Soham Chatterjee
Charles Landau
Joseph Nicolls
Language
English
Good to know
Develops skills and knowledge to solve real-world problems in Machine Learning Engineering
Strengthens an existing foundation for intermediate learners
Taught by instructors with industry experience
Examines real-world problems, which is highly relevant to Machine Learning Engineering
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser