Extra: Image processing, Machine Learning, Deep learning

Machine Learning/Deep Learning

In mid-2020, I started studying the subject of machine learning. I must confess that I am a novice and learning. However, you can find some of my work on Kaggle. The utility of Machine Learning (ML) in various disciplines is quite common and probably mentioned everywhere on the internet. What brings me close to ML is its utility in solving the problems of physics and biology. 

Learning resource/Lecture Video:

1. Machine learning for physicists,  by Prof. F. Marquardt.

2. TensorFlow website.

3. PyTorch website

4. A high-bias, low-variance introduction to Machine Learning for physicists, Pankaj Mehta et al.

5. Neural networks and deep learning, Michael Nielsen.

Quick link for papers on the latest development in ML/DL:

• https://paperswithcode.com/  

Quantitative structure-property relation and Graph Neural Network (GNN):

• Predicting the glass transition temperature of a given set of polymers (Link)