Archive

ML

Loss Functions in Machine Learning 12 Aug, 2019
Gaussian Processes 28 Jul, 2019
Gradient Boosting 12 Apr, 2019
Machine Learning Methodology 30 Mar, 2019
Notes for Interpretable Machine Learning 25 Aug, 2017
Predict the NBA with Machine Learning Methods 25 Aug, 2017
Support Vector Machine 9 Feb, 2017
ML Q&A 3 Dec, 2016
ML Nuts and Bolts 4 Sep, 2016
ML Model Zoo 5 Aug, 2016
Similarity and Distance Measurements 13 May, 2016

MISCELLANEOUS

Lessons from Machine Learning 19 May, 2017
A Guide for Graduate Career 10 Sep, 2016
Pet Projects 14 Jul, 2016
碎碎念。 10 Jun, 2016

DL

十个样本训练 MNIST 分类器 29 Nov, 2019
Automatic Differentiation Tutorial 15 Sep, 2019
Build a Deep Learning Framework From Scratch 18 Aug, 2019
A Tutorial on Convolution 4 Aug, 2019
神经网络训练二三事 1 May, 2019
Optimization Methods in Deep Learning 19 Apr, 2017
Deep Learning Book Reading Notes 10 Jan, 2017
Reinforcement Learning Notes 16 Sep, 2016
A Step-by-Step Neural Net Example 14 Sep, 2016
Deep Learning Notes 12 Jul, 2016

readings

「最重要的事，只有一件」读书笔记 28 Mar, 2020
「靠谱」读书笔记 19 Jul, 2019
「深度工作」读书笔记 30 Mar, 2019
「六顶思考帽」读书笔记 23 Mar, 2019

DevOps

Docker Tutorial 29 Apr, 2019

AdTech

计算广告竞价机制 10 Dec, 2020
计算广告出价模式 9 Dec, 2020
「程序化广告—个性化精准投放实用手册」笔记 19 Apr, 2020