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Differential Equations in Action (Udacity) 1 个评论 关注 开始时间: 04/22/2022 持续时间: 自主 主页: https://www.udacity.com/course/cs222 简介: In this course you will examine real world problems -- rescue the Apollo 13 astronauts, stop the spread of epidemics, and fight forest fires -- involving differential equations and figure out how to solve them using numerical methods. |
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Introduction to Parallel Programming (Udacity) 1 个评论 关注 开始时间: 04/22/2022 持续时间: 自主 主页: https://www.udacity.com/course/cs344 简介: You'll master the fundamentals of massively parallel computing by using CUDA C/C++ to program modern GPUs. You'll learn the GPU programming model and architecture, key algorithms and parallel programming patterns, and optimization techniques. Your assignments will illustrate these concepts through image processing applications, but this is a parallel computing course and what you learn will translate to any application domain. Most of all we hope you'll learn how to think in parallel. |
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Natural Language Processing (CourseraArchive) 7 个评论 关注 开始时间: 04/22/2022 持续时间: 10 weeks 主页: https://www.coursera.org/course/nlangp 简介: Have you ever wondered how to build a system that automatically translates between languages? Or a system that can understand natural language instructions from a human? This class will cover the fundamentals of mathematical and computational models of language, and the application of these models to key problems in natural language processing. |
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Computational Investing, Part I (CourseraArchive) 0 个评论 关注 开始时间: 04/22/2022 持续时间: Unknown 主页: https://www.coursera.org/course/compinvesting1 简介: Find out how modern electronic markets work, why stock prices change in the ways they do, and how computation can help our understanding of them. Build algorithms and visualizations to inform investing practice. |
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Deep Learning Specialization (Coursera专项课程) 0 个评论 关注 开始时间: 12/21/2023 持续时间: Approximately 5 months to complete Suggested pace of 9 hours/week 主页: https://www.coursera.org/specializations/deep-learning 简介: Andrew Ng老师的深度学习专项系列课程(Deep Learning Specialization) ，入门深度学习首选课程。这个系列包含5门子课程，涵盖神经网络与深度学习，调参优化，机器学习项目架构，卷积神经网络和递归神经网络，感兴趣的同学可以关注：Deep Learning Specialization-Master Deep Learning, and Break into AI |
