GPU Programming
About this Specialization
This specialization is intended for data scientists and software developers to create software that uses commonly available hardware. Students will be introduced to CUDA and libraries that allow for performing numerous computations in parallel and rapidly. Applications for these skills are machine learning, image/audio signal processing, and data processing.Created by: Johns Hopkins University
Related Online Courses
The Measurement and Analysis course delves into the essential aspects of tracking, analyzing, and optimizing marketing efforts to drive success. Throughout the course, you will gain a solid... more
This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the... more
Welcome to this Advanced Java Course! This comprehensive Coursera Advanced Java course upgrades your Java programming skills by helping you learn advanced concepts and techniques in real-world... more
Get ready to manipulate text like a pro! This 2-hour, interactive guided project delves into the world of string manipulation which is a fundamental skill in C# programming. In this project,... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use BigQuery to troubleshoot common SQL errors, query the data-to-insights public dataset, use the Query... more
Powered by
