Comprehensive course analysis
Who should attend
Software programmers, statisticians, experienced applied mathematicians and data scientists who want to become machine learning specialists.
About the course
Machine learning is changing our world in profound and fundamental ways. We can already see the results in innovations such as customized online recommendations, speech recognition, predictive policing and fraud detection. Future applications are limited only by the imagination.
In this three-course certificate program, we’ll examine all aspects of machine learning. You’ll study the probability concepts and statistical methods that are at the core of machine learning algorithms. We’ll also practice ways to apply these techniques, using open-source tools — along with your developing judgment and intuition — to address actual business needs and real-world challenges.
What you’ll learn
- Essential concepts of statistical analyses, probability, mathematical modeling and optimization techniques
- Supervised and unsupervised learning models for tasks such as forecasting, predicting and outlier detection
- Advanced machine learning applications, including recommendation systems and natural language processing
- Deep learning concepts and applications
- How to identify, source and prepare raw data for analysis and modeling
Get hands-on experience
- Work with open source tools such as RStudio, scikit-learn and Weka
- Develop solutions to real-world machine learning problems
Enjoy the flexibility of learning at your own pace, with instructor support along the way. Courses are 100 percent online, with no class meetings or fixed deadlines — so you can start anytime. You have up to four months to complete each course and up to two years to complete the program.
Start and finish your program with the same group of students, with frequent opportunities to interact with your instructors and classmates along the way. Courses are 100 percent online, with set due dates for assignments but no class meetings.
Attend classes part time at one of our convenient locations in the Puget Sound region. You’ll engage face to face with your classmates and instructors as part of a highly interactive curriculum
Stephen F. Elston is managing director of Quantia Analytics, a data science consultancy, and a cofounder of FinAnalytica. He’s a big data geek, data scientist, instructor and O’Reilly author. He has more than two decades of experience in predictive analytics and machine learning with R, S/S-PLUS ...
Dave DeBarr has more than 18 years of experience using machine learning to implement high-performance solutions for a variety of commercial and government applications. DeBarr is a principal applied researcher at Microsoft, currently focusing on authentication and account security. In his time at...
Aitzaz Ahmad is an applied scientist specializing in machine learning at Amazon. He builds high-performance, scalable and reliable machine learning applications for Amazon's finance systems. Previously he was a senior data scientist at Procter & Gamble who led the efforts to deploy machine le...
Experience University of Washington Assistant Professor Lecturer (Adjunct) 2017– 2018 Dimensional Mechanics, Inc Senior Machine Learning Scientist 2018 Machine Learning Engineer 2017 – 2018 Rolls-Royce Research Associate 2016 Toshiba Associate Software Engineer 2009 – 2010 Education Nanyan...
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Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.