Machine learning research bootcamp

For students and working professionals, interested to get 1:1 research mentorship for a hands on open-source data-science (GenAI, DL or ML) project and to strengthen their research portfolio by publishing it as a conference/ journal paper. You can propose a project/topic on your own or ask me for suggestions to choose from. Once a topic is finalized, I will share some must-read papers to kick-start the literature survey, we will compile high-quality datasets for you to play with as well as share tutorial style topic overviews/ blog articles for key technical concepts relevant to the chosen project.

Participants can choose from one of the following formats:

Format 1: We will meet once or twice a week for 45-minutes to troubleshoot technical challenges and plan out next steps. It is expected that participants are able to spend at least 40-50 hrs/week for a period 2-3 months [Ideal if enrolling during summer or semester break].

Format 2: We will meet once every 2 weeks for 45-minutes to troubleshoot technical challenges and plan out next steps. It is expected that participants are able to spend at least 12-15 hrs/week for a period of ~5-6 months [Ideal for folks who don't have a dedicated summer break and/or for working professionals].

Pre-reqs: It is expected that participants are comfortable with programming in python and have familiarity with data-science concepts. If not, please enroll for python bootcamp and/or data-science bootcamp as a first step.