2022 NTHU Data Science === ###### tags:`Data Science` Frequent Pattern --- Introduction to ML --- - [What is Machine Learning?](/botuPDHnTO28Yd1uzSLmBQ) - [What is Classification?](/OcGhWFIdTa2qO7jm7F8jIA) - [Decision Tree](/NpoU1lxtRBW0l5u6-gBGhA) - [Support Vector Machine(SVM)](/t9mq0JwRSLSafp97VnuHrg) - [Model Evaluation](/biTm-tPxST2JrBSIXLzzUA) - [Ensemble Methods](/YuU-66ksR7W8OPCkG0QI1A) - [Bayes Classification Methods](/IMq3H4oFR6esFH1eEYtMCQ) - [Normalization and Multiclass F1score](/M6zeBpK2QT-Kl8eaQXTA_A) Regression --- - [Linear Regression](/zzb88y03TRqo20g_mA4xRw) - [Gradient Descent](/Gp5SCNU-SFm0CLZ0GHmuDA) - [Regression Evaluation](/dIfeeNY6So64GN8TJm48Pg) - [Overfitting vs. Underfitting](/tLkJnMMjQEy-DL9CSfEFAw) - [Ridge Regression & Lasso Regression](/xsdSYC1BRs-cn_bPGLHd_Q) Clustering --- Introduction to Deep Learning --- - [Introduction to Deep Learning Abstract](/5dpcEkidRVOYxMctOfCGnA) - [What is the model?](/KVmrgfwTQ0WHUgPlIcGxnA) - [What is the "best" function?](/E4ZZdyKHSuGZZNaD-_nP8g) - [How to pick the "best" function?](/YsJkn2fySAaVGygntobBRQ) - [Concluding Remark & Tips for Neural Network](/zPlCJLOgRWaQEPAeeGnrlw) CNN --- - [CNN](/38zwB5F1QHyCQUI484odOA) Global Optimization --- - [Outline](/l9SbCTJVRF6GuhYViPQRfQ) - [Simple Search Algo](/JRFE9S0kQiO8Lw7kiJdPWg) - [Evolution Algorithm](/WiZ-7_tDT9qD50DQrbE8FA) - [Gradient Descent-based algorithms](/iOu4cSXoRoKOW1FOslfhnA) - [Hyper-parameter Optimization](/JL-VK0OjQdyWnarMFiCg4A) - [Optimization for Expensive Function](/LgyAacC8TNycnXDCdlmz1g) Self Supervised Learning --- - [Self Supervised Learning- Reconstruct data](/qIe15RmMRGCuT17cBPepAQ) - [Pretext task](/Sy104vbyTeu5bqO74lMdbA) - [Contrastive learning](/cteZOxe4SGqPa_8y4QWi_A) Code ---
{"metaMigratedAt":"2023-06-16T23:50:09.910Z","metaMigratedFrom":"Content","title":"2022 NTHU Data Science","breaks":true,"contributors":"[{\"id\":\"427c6998-3f16-4769-a077-77f94ca418d9\",\"add\":2058,\"del\":292}]"}
Expand menu