computer science and global warming

  I’ve spent the last five years working on a new project called “Solving for Greenhouse Gases Using Machine Learning Models”, which will be a part of my Ph.D. program in the fall of 2019 at Harvard University. It is my first thesis, so there is one big difference between writing something that you hope to publish and my goal here trying to solve greenhouse gases using machine learning models. However, the general idea of applying these types of techniques to solving problems of this sort seemed like an obvious first step after my dissertation. Machine Learning (ML) is a broad term that covers a wide variety of different algorithms and tasks and it’s often used when talking about the prediction and classification tasks involving datasets that are labeled with known values or characteristics. For example, text analytics can be considered a task within machine learning to try and find patterns in your data by giving examples that are similar to the ones you have already seen and maki...