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Machine Learning

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Machine Learning has become a mainstay in the battle with information overload and the preferred technology for exploring the science of Big Data. As research generates immense quantities of data, measured now in terabytes, the requirement for machine processing has moved from the realm of the data processing specialist to that of sophisticated and intelligent data management and analysis tools that can be used by anybody. Science, Engineering, Arts and many other endeavors will increasingly rely on such machine learning tools.

To facilitate broader understanding of machine learning in a wide range of disciplines, this project gently and thoroughly introduces the concepts and techniques of machine learning to undergraduate level students, and the professors who teach them. This material, in the form of teaching and learning modules, enables courses in many disciplines to incoporate a little or a lot of relevant machine learning content.

Following are the modules that are appropriate for those who are brand new to the idea of machine learning, for those with more background and experiences with the concepts, and everybody in between.


More modules to come................


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I attended the Data Science Education BOF at SIGCSE and have found myself here. I'm interested in helping to support Data Science Education from a combo industry/academic perspective, especially in machine and deep learning.

NVIDIA has recently partnered with Professor Yann LeCun of New York University (NYU) to develop a machine learning Teaching Kit covering the academic theory and application of machine and deep learning on GPUs. The curriculum addresses a wide range of critical machine learning topics enabling educators to empower their students with the AI skillsets they’ll need in industry. Other Teaching Kits offered cover Accelerated Computing and Robotics. Instructors can get access to the Teaching Kits at developer.nvidia.com/teaching-kits.

I would also like to invite everyone to GTC17. You can save USD$1200 off the regular registration rate using my personal code NVJBUNGO on top of the non-profit registration + training. The conference is May 8-11 in San Jose, CA. Among many other things, there will be more than 30 hands-on instructor-led labs across machine learning and GPU programming.

Thanks for taking a look. Feel free to reach out to me directly at jbungo@nvidia.com.

Kind Regards,

GPU Educators Program Manager
NVIDIA Corporation | Academic Programs

By jbungo