HYUNMIN-HWANG/DeepLearning.AI_STDUY

🐱 Study of the Deep Learning with code

DeepLearning.AI_STDUY

0. One-Day-One-Paper

1일 1논문 리뷰 스터디

1. Machine Learning

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.
Topics include:
(i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
(ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).

• Instructor : Andrew Ng
• Goal : 21.07.25 ~ 21.08.08 (2 weeks)
• Reference Page (Machine Learning 강의노트 > Link)

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