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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 teaches about the technologies underlying experimentation used in systems biology, with particular focus on RNA sequencing, mass spec-based proteomics, flow/mass...

In this course, students will learn to interface common sensors and actuators to the DragonBoard™ 410c hardware. They will then develop software to acquire sensory data, process...

Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to...

This online course gives an introduction to least squares from a linear algebraic and mathematical perspective. The course is for students who already have had a class in...

In this course students will build a hardware and software development environment to guide their journey through the Internet of Things specialization courses. The DragonBoard™...

This course explores regularized linear regression models for the task of prediction and feature selection. Students will be able to handle very large sets of features and...

This online course covers advanced machine learning and signal processing concepts, including supervised and unsupervised machine learning.

In this course, students will get hands-on experience with machine learning from a series of practical case-studies. They will study how to predict house prices based on...

This online course series prepares learners to use the IBM AI Enterprise Workflow that enables data scientists to build AI solutions, starting with business priorities and...

In this course, students will learn about data structures, like graphs, that are fundamental for working with structured real world data. They will develop, implement, and...

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 MOOC teaches a calculus that enables quantitative predictions of large combinatorial structures. In addition, the MOOC also covers generating functions and real asymptotics...

This course covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational...

This online course program gives an introduction to the Python programming language and its application in practical data science projects. Participants should already have a...

In this course students will be developing foundational programming skills to support graphical element presentation and data manipulation from basic functions through to...

This online course program is intended for experienced spacecraft dynamics and GNC engineers and researchers. It includes momentum-based attitude dynamics and control and...

This course explores the convergence of multiple disciplines leading to todays’ Smartphones. Students will learn about the birth and evolution of Telephony Networks, Broadcast...

This online course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models.

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...