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This online course explores algorithmics and graph theory using Python.
This online video lecture series discusses advanced topics related to algorithms in computer science.
This course provides a case-based introduction to the exciting, high-demand field of machine learning. Students will learn to analyze large and complex datasets, build...
This online course explores the essentials of machine learning and algorithms to help improve learning from data without human intervention. Topics of the course include:...
Through a combination of classic papers and more recent work, students will explore automated decision-making from a computer-science perspective. They will examine efficient...
Students will understand, through this course, the power and limitations of algorithms that help people develop the tools to make real-world computers smarter, faster and safer.
In this advanced online course several quantum machine learning algorithms are presented and explained. Students will also learn how to implement them in Python.
Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to...
This MOOC teaches a calculus that enables quantitative predictions of large combinatorial structures. In addition, the MOOC also covers generating functions and real asymptotics...
This online course presents both exact and approximate algorithms for different types of inference tasks, and discusses where each could best be applied.
This course covers intermediate topics in data science. Students will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and...
This is an online lecture taking a practical approach to proving problems can't be solved efficiently (in polynomial time and assuming standard complexity-theoretic assumptions...
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