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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.
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立即開始,按照自己的計劃學習。
Coursera Labs
靈活的計劃
設置並保持靈活的截止日期。
初級
完成課程大約需要 3 個月
建議進度:9 小時/週
英語(English)
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
Coursera Labs
靈活的計劃
設置並保持靈活的截止日期。
初級
完成課程大約需要 3 個月
建議進度:9 小時/週
英語(English)

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此專項課程包含 3 門課程

課程1

課程 1

Supervised Machine Learning: Regression and Classification

4.9
5,327 個評分
課程2

課程 2

Advanced Learning Algorithms

4.9
1,206 個評分
課程3

課程 3

Unsupervised Learning, Recommenders, Reinforcement Learning

4.9
551 個評分

提供方

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deeplearning.ai

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斯坦福大学

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