Summer Machine Learning Boot Camp
This year's Machine Learning Boot Camp is a virtual boot camp focused on ML for Executives on May 20-21, 2021.
The Data Science/Machine Learning Boot Camp is an intensive training program that offers guided instruction and hands-on learning. The camp is held annually in the summer at Rice University and is taught by Rice University faculty and associates.
This training session introduces the skills needed to help leverage cutting edge data analytics tools, and get you up to speed on skills required to start leveraging the latest Data Science tools. Early registration is recommended as this courses fills up fast!
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The Machine Learning Boot Camp
2021 Focus: Machine Learning for Executives
Date: May 20-21, 2021
Location: Online Event
Prerequisites: A general level of familiarity with mathematics is assumed, including college-level calculus, though those without this background will still find the boot camp a useful introduction to modern ML.
More information available at: http://bootcamp.rice.edu/
Register now for the 2021 Machine Learning Boot Camp!
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Summer HPC Boot Camp
Please note, the 2020 HPC Boot Camp has been canceled. The boot camp will return next summer, 2021.
The High Performance Computing (HPC) Boot Camp is an intensive training program that offers guided instruction and hands-on learning. The camp is held annually in the summer at Rice University and is taught by Rice University faculty and associates.
The training session introduces the skills needed to help get you up to speed on skills required to start leveraging the latest HPC tools. Early registration is recommended as the course fills up fast!
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*The 2020 HPC Boot Camp has been canceled. The boot camp will return next summer, 2021.*
Leading High-Performance Computing (HPC) faculty and staff members from Rice University serve as instructors for the HPC Boot Camp. The curriculum covers topics ranging from MPI, OpenMP, Pthreads, Performance analysis (HPCToolkit), accelerated computing using GPGPU (OpenACC and CUDA), and GPU programming including Numba, Tensorflow and domain-specific CUDA libraries. Using Rice’s shared computing infrastructure, hands on laboratory sessions supported by the instructor and lab assistants, will be offered each day allowing participants to practice what is being taught in the class sessions.
Prerequisites: Participants should be comfortable with using Linux command line for program development and compiling. You should have basic knowledge of development and debugging of sequential programs in C/C++ and/or Fortran.
More information available at: http://bootcamp.rice.edu/
