Machine Learning At Berkeley (ML@B) is a club at UC Berkeley that both does consulting for companies as well as academic research. More information about it can be found here:
https://ml.berkeley.edu/
https://ml.berkeley.edu/
At my first semester at ML@B, I worked on a research project that studied ways to improve LSTM's (a type of recurrent neural network) on time series data using Keras. Below is an image of results showing predictions on electricity usage over several months.
For my second semester at ML@B, I was both a Project Manager for an industry project as well as an Officer of Resources. I lead a team of 7 students to work on Behavioral Cloning and Reinforcement Learning for Unity3D as Project Manager using Tensorflow and Keras. A video of the work I did that can be seen below (about 17 minutes in). As an Officer of Resources, my job was to set up and maintain GPU's and servers for our club. I also hosted a Society of Women Engineer's events for high schoolers to introduce them to machine learning.
For my third semester in ML@B, I was again a Project Manager for an industry project with Unity. There, my task was to apply hierarchical deep reinforcement learning to Shadow Tactics, a game developed within the Unity framework. Unfortunately, due to the proprietary nature of the work, I cannot post the video of the results here. I also gave a number of public lectures on recent advancements in deep reinforcement learning as well as some tutorials. A video of that can be found below.
For my fourth semester, I was a technical advisor for a number of research projects in the club. My role was primarily to make sure that the members were ready to present their work at demo days and to make sure that progress was being made. I did no technical work for those projects.
For my fifth semester, I was a project manager for a collaboration between ML@B and Berkeley Deep Drive. Unfortunately, due to a number of scheduling issues with the graduate students and professors, the project did not get off the ground.
For my fifth semester, I was a project manager for a collaboration between ML@B and Berkeley Deep Drive. Unfortunately, due to a number of scheduling issues with the graduate students and professors, the project did not get off the ground.
