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金_木水火土 2018-02-26 21:38 0 票支持; 0 票反对
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所在平台: Coursera专项课程 课程类别: 计算机科学 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/aml
课程评论: 1 个评论
课程名称：高级机器学习专长 课程概述： 该专长介绍深度学习、强化学习、自然语言理解、计算机视觉和贝叶斯方法。顶尖的Kaggle机器学习实践者和CERN科学家将分享他们解决实际问题的经验，帮助学员填补理论与实践之间的空白。完成七门课程后，学员将能够在企业中应用现代机器学习方法，理解实际数据和环境的注意事项。 课程大纲： 1. [深度学习入门](http://coursegraph.com/coursera-intro-to-deep-learning?specialization=aml) 2. [如何获胜数据科学竞赛：向顶尖Kaggler学习](http://coursegraph.com/coursera-competitive-data-science?specialization=aml) 3. [机器学习中的贝叶斯方法](http://coursegraph.com/coursera-bayesian-methods-in-machine-learning?specialization=aml) 4. [实用强化学习](http://coursegraph.com/coursera-practical-rl?specialization=aml) 学习完本课程，学员将具备利用现代机器学习技术解决现实世界中复杂问题的能力。
Introduction to Deep Learning
How to Win a Data Science Competition: Learn from Top Kagglers
Bayesian Methods for Machine Learning
Practical Reinforcement Learning
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金_木水火土 2018-02-26 21:38 0 票支持; 0 票反对
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This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.
高级机器学习专长：该专长介绍了深度学习，强化学习，自然语言理解，计算机视觉和贝叶斯方法。顶尖的Kaggle机器学习实践者和CERN科学家将分享他们在解决现实问题中的经验，并帮助您填补理论与实践之间的空白。完成7门课程后，您将能够在企业中应用现代机器学习方法，并了解实际数据和设置的注意事项。
