About this Program
Machine learning — the ability for computers to detect patterns in data and use it to make predictions — is changing our world in profound ways. As the technology becomes faster and more accessible, machine learning is sparking innovations big and small, from customer service chatbots to predictive medicine. Future applications are limited only by the imagination.
In this three-course certificate program, we’ll prepare you for the machine learning scientist or machine learning engineer role. We’ll examine both the mathematical and applied aspects of machine learning. You’ll study the underlying algorithms and statistical methods that are at the core of machine learning techniques. We’ll also apply these practices using the most popular tools and platforms — along with your developing judgment and intuition — to address actual business needs and real-world challenges.
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How to Become a Machine Learning Engineer
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Find the Right Data Program for You DESIGNED FOR
Software programmers, statisticians, experienced applied mathematicians and data scientists who want to become machine learning scientists.
Instructor Dave DeBarr of the Certificate in Machine Learning discusses the skills and knowledge this program covers.
Play 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 scikit-learn, TensorFlow and Keras
Develop solutions to real-world machine learning problems
Participate in code reviews
APPLY FOR A SCHOLARSHIP
You may be eligible to apply for a UW Certificate Scholarship or Rotary Scholarship to cover most of the costs of this program. Scholarships are awarded based on financial need and the potential of the program to positively impact your career. For more information, see the
Alumni working in field
Microsoft , Amazon, Boeing, Facebook, T-Mobile, Expedia
OUR ENROLLMENT COACHES ARE HERE TO HELP
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