An Introduction to Hi-C data analysis (part1).
An introduction to modern command line tools powered by Rust.
An Introduction to Nanopore direct cDNA data analysis.
An Introduction to Nanopore direct RNA data analysis.
Some operations on BigWig files.
An Introduction to PacBio Iso-Seq data analysis.
Probabilistic Graphical Models for Fraud Detection.
An Introduction to Options.
As a machine learning engineer, I have been learning and playing with deep learning for quite some time. Now, after finishing all Andrew NG newest deep learning courses in Coursera, I decided to put some of my understanding of this field into a blog post. I found writing things down is an efficient way in subduing a topic. In addition, I hope that this post might be useful to those who want to get started into Deep Learning.