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This comprehensive course series teaches concepts of machine learning. Machine learning engineers build programs that dynamically perform the analyses that data scientists used...

This MOOC aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and...

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 online course gives a hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.

This course will teach probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Extensive programming examples and...

This course covers relevant systems, the principles on which they rely, their tradeoffs, and how to evaluate their utility against one`s requirements. Cloud computing, SQL and...

This course will teach its students two techniques for storing data to their device’s hard drive: the NSKeyedArchiver method and the more complex, but robust Core...

This course covers data abstraction, state, and deterministic dataflow in a unified framework with practical code exercises. In the last part of the course, students will...

In this course, students will use Native JavaScript Promises to write asynchronous code that is easy to read, easy to write and easy to debug.

This online course teaches how to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

This online course will focus on magnetic resonance imaging, also known as an MRI. In the first part of the course, the dynamic of spins in a magnetic field is described,...

In this course, students will learn standard methodologies for debugging software—especially for iOS applications. Additionally, they will understand how to use Xcode’s...

This course will teach its students how to start from scratch in answering questions about the real world using data. The model building process involves setting up ways of...

This online course explores how to perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

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 course covers the fundamentals of iOS application development in the Swift programming language. Students will learn to use development tools such as XCode, design...

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™...

In this course, students will create classifiers that provide state-of-the-art performance on a variety of tasks and will become familiar with some of the most successful...

In this online course, participants get hands-on experience making web applications accessible (eg. through screen readers).

Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in...