I was invited by the Taiwanese Data Science (TWDS) Meetup Group to give a talk about "Data Science Job Search in USA". Below is the slide link for those who are interested.

Data Science Job Search in USA

And here is the notes in traditional Chinese taken by the event …

In this article, I wrote about how to use pelican embed_tweet plugin in Pelican static site generator, which is useful for embedding tweet into your own blog posts, like so:

Tweet of ikding/1306120884646674438

In the beginning of 2020, I started a goal of writing more professionally. I did not …

Over the past few years, I have had the chance to mentor aspiring data scientists in their job search. In that process, I have also had opportunities to reflect on my own job search process. I realized that I've been conducting my own job search with a "sniper rifle" approach. Here's what that may look like, and why it may be extra important in the lean years.

The machine learning breakthroughs for the past 10 years has been primarily focused on the bits world, and more and more industries are leveraging machine learning for their competitive advantage. On the other hand, the climate change issue is, inherently, a challenge in the atomic world. Therefore, if machine learning were to make an impact to climate change, it would have to render effects in the physical world. Having attended the ICLR Workshop on "Tackling Climate Change with Machine Learning" for the past five days, I want to organize my thoughts in this post on applying machine learning to the issue of climate change.

Notes from day 5 (Cross-cutting Methods Day) of ICLR Workshop - Tackling Climate Change with Machine Learning on 2020-04-30.

Notes from day 4 (Climate Science and Adaptation Day) of ICLR Workshop - Tackling Climate Change with Machine Learning on 2020-04-29.

Notes from day 3 (Agriculture, Forestry, and Other Land Use (AFOLU) Day) of ICLR Workshop - Tackling Climate Change with Machine Learning on 2020-04-28.

Notes from day 2 (Energy Day) of ICLR Workshop - Tackling Climate Change with Machine Learning on 2020-04-27.

Notes from day 1 (Main workshop) of ICLR Workshop - Tackling Climate Change with Machine Learning on 2020-04-26.

PyVista is a Python package for 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK). I learned how to use the package in the past few weeks, and decided to build something fun to explore Python-based 3D visualization on the web.

I had so much …