Anna Koop

Anna is Senior Scientific Advisor at the Alberta Machine Intelligence Institute (Amii), working to nurture productive relationships between industry and academia. Anna, whose research mainly focused on reinforcement learning, received her Master’s in Computing Science under the supervision of Dr. Richard Sutton, one of the field’s pioneers, and she is currently a PhD candidate working to develop algorithms for real-time learning in dynamic environments. Passionate about making science accessible for all, Anna has developed and taught a wide range of computing science classes through the University of Alberta.

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Introduction to Applied Machine Learning (Coursera)

This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning [...]
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Machine Learning Algorithms: Supervised Learning Tip to Tail (Coursera)

This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Learners will also gain skills to contrast [...]
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Optimizing Machine Learning Performance (Coursera)

This course synthesizes everything your have learned in the applied machine learning specialization. You will now walk through a complete machine learning project to prepare a machine learning maintenance roadmap. You will understand and analyze how to deal with changing data. You will also be able to identify and [...]
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Data for Machine Learning (Coursera)

This course is all about data and how it is critical to the success of your applied machine learning model.
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