Stanford Machine Learning 公開課筆記(2) Logistic Regression
最近在Coursera上學習Stanford的Andrew Ng的Machine Learning公開課，也作筆記，寫做業。本章是Logistic Regression。記錄一下個人筆記。大部分是課堂視頻截圖，形式比較醜。html 寫完編程做業(主要用octave來實現，和matlab語法很像)以後，發現寫做業而且在系統中提交經過才能給你帶來真正地學會了的感受，推薦認真聽課而且獨立完成做業。 算法
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相關文章
- 1. Stanford Machine Learning 公開課筆記(1) Linear Regression
- 2. Machine Learning Series No.2 --Logistic Regression
- 3. Machine Learning Stanford (week 2)
- 4. Machine Learning—Classification and logistic regression
- 5. Machine Learning - Logistic Regression - Two-class Classification
- 6. Machine Learning Andrew Ng -6. Logistic Regression
- 7. Machine Learning in Action (5) —— logistic regression
- 8. Machine Learning Techniques 筆記：2-6 Support Vector Regression
- 9. Machine Learning Techniques 筆記：2-5 Kernel Logistics Regression
- 10. Stanford CS230學習筆記（二）：Lecture 2 Basics, Logistic Regression and Vectorization