As you may have noticed, my study and research track during undergraduate study was Translational Cell & Tissue Engineering. It emphasizes knowledge about physiology, animal surgery, biomaterials, drug delivery and so on. When entering JHU BME, however, I grew interests in harnessing the power of computers and electronics, so I switched to the Imaging & Medical Devices Track. I use Coursera and YouTube heavily to take prerequisite courses so that I can catch up with those graduate-level courses in this track.
I will use this blog to record my progress.
Machine Learning & Deep Learning
Mathematics for Machine Learning: Linear Algebra
Deep Learning Specialization
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
Data Science & Programming
Programming for Everybody (Getting Started with Python)
Python Data Structures
The Data Scientist’s Toolbox
Introduction to Data Science in Python
Hands-on Introduction to Linux Commands and Shell Scripting