Bayesian Statistics, Maximum Likelihood Estimation, and Machine Learning
Some basic content I encountered while studying machine learning. A very brief explanation of prior probabilities, posterior probabilities, maximum likelihoo...
Recent posts
[Review] XNOR-Nets: ImageNet Classification Using Binary Convolutional Neural Networks
A model that binarizes both the input and convolution filters, offering the possibility of running SOTA networks on CPUs.
공학수학 1,2 필기 공유
Giving out handwritten notes for Engineering Mathematics 1 and 2
[Review] There’s No Such Thing as a General-Purpose Processor
ACM Queue, October 2018. There were, are, and will be no general purpose processors, according to the author.
[Review] Digital Nudging: Guiding Online User Choices through Interface Design
CACM, July 2018. What is chosen often depends on how the choice is presented. What are the techniques and heuristics we can exploit?