[머신러닝] Lecture 19 Summary and Thank you

https://www.youtube.com/watch?v=oByDE-RJkZA&list=PLoR5VjrKytrCv-Vxnhp5UyS1UjZsXP0Kj&index=19

Andrew Ng 교수님의 머신러닝 강의를 통해서 다음과 같은 것들을 배울 수가 있었다.

• supervised learning
  • linear regression, logisitic regression, neural networks, SVMs
• unsupervised learning
  • k-means alg., PCA, anomaly detection
• recommender systems, large scale machine learning.
• advice in building machine learning system
  • bias/variance, regularization, evaluation of learning alg., learning curves, error analysis, ceiling analysis.
    

이제 딥러닝 강좌를 들을 예정이다.