tainguyenmienphi.com lại lên 1 khóa vjqqro siêu cấpppppp đây.. Đây bộ Khóa học Supervised Machine Learning
hiện đang rất hot trên thị trường với các khóa học lập trình online Do đó, khóa học này đã ra đời và giúp rất nhiều bạn vượt mọi khó khăn và chinh phục được , tự tin ứng tuyển mọi nhu cầu tuyển dụng . Nên hôm này mình xin chia sẻ bộ Khóa học Supervised Machine Learning
![[SHARE] Supervised Machine Learning: Regression and Classification Supervised Machine Learning](https://tainguyenmienphi.com/wp-content/uploads/2024/10/image-79-1024x434.png)
What you’ll learn in Supervised Machine Learning
- Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn
- Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression
In the first course of the Machine Learning Specialization, you will:
• Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn.
• Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn 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 and expanded 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.
LINK: Supervised Machine Learning: Regression and Classification | Coursera
![[SHARE] Supervised Machine Learning: Regression and Classification Supervised Machine Learning: Regression and Classification](https://tainguyenmienphi.com/wp-content/uploads/2024/10/XDPCOURSEmachine-learning-750x375.jpeg)






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