Keep this blog as the queue-style log of the todos. As I hope I can get some time for myself from the beginning of March 2019, so I list the things here and keep track of them. Queue Table todos Set Time Accomplished Time Priority Done Lego GTR 911 02/14/2019 NA 0 0 test module for python learning, nose and pytest module 02/14/2019 02/17/2019 5 1 coolstuff repo code clean 2/15/2019 NA 2 0 C++ review 2/21/2019 NA 4 0 DRL UCB course review 02/17/2019 NA 3 0 GTA5 3/10/2019 3/16/2019 -5 1 TEMPLATE 3/10/2019 3/16/2019 0 0 Let’s Rock THEM!

To prepare for the onsite interview with XXXX, I read bunches of papers about recommendation system these days. And some of them are really nice, I will keep track of it and add a really briefly comment for that paper, descriptive or detailed. Breese, J. S., Heckerman, D., & Kadie, C. (1998, July). Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence (pp.

今天是二月份的第一天，周五，很冷。帆哥回家过年去了，我特别羡慕他；陶总在我旁边为去加州onsite准备ppt，他特别认真；但是我还在因为不能

The initial intent to write this blog is to sorting out the paper I read in 2018. As the AI area is changing and new techs are coming up every minute, so I want myself to keep up to date of the remarkable papers. Stay hungry, stay foolish. The papers mainly can be divided in several eras: utils of Data science, Machine Learning, Reinforcement Learning, Computer Vision, deep learning. And each can be divided into more specific era.

This is my first blog, so here I draft something to keep myself reminded of. Those things are: Why this blog? Sharing is nice. Especially for the techs stuff. What I want to share? The tech things I m interested, the cool things I learned about, studying and working on, and want to explore in the future. The outdoor activities I m enjoying. Skateboarding and hiking.