关于此 专项课程

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The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.
可分享的证书
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100% 在线课程
立即开始,按照自己的计划学习。
Coursera Labs
灵活的计划
设置并保持灵活的截止日期。
初级
完成课程大约需要 3 个月
建议进度:9 小时/周
英语(English)
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
Coursera Labs
灵活的计划
设置并保持灵活的截止日期。
初级
完成课程大约需要 3 个月
建议进度:9 小时/周
英语(English)

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此专项课程包含 3 门课程

课程1

课程 1

Supervised Machine Learning: Regression and Classification

4.9
5,545 个评分
课程2

课程 2

Advanced Learning Algorithms

4.9
1,266 个评分
课程3

课程 3

Unsupervised Learning, Recommenders, Reinforcement Learning

4.9
588 个评分

提供方

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deeplearning.ai

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斯坦福大学

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