On a Monday of all days, I started to dig in and focus my academic ambitions to a very specific line of inquiry related to really flushing out the trajectories in a myriad of machine learning literature reviews. I’m walking down the path to understanding a review of reviews of sorts. That inquiry is not very targeted and the content I’m going to encounter will be more of a breath based search of machine learning knowledge. After working through that tower of academic contribution I plan to spend some type really digging into the depth of a couple of key items to form a new academic trajectory toward some survey work or coding efforts that would yield additional academic contributions on my part.
At this point in time, I need to refocus my efforts and spend time really digging into the current stream of academic contributions. That will help me rebalance my efforts to be a mix of both productive research projects and steady inquiry into how the broader academic of academic thought is changing. Given the sheer volume of publications that are occurring right now that becomes even more challenging. That is why I elected to focus on only reading literature reviews to start. I felt that a review of reviews would help me target the core articles being referenced commonly within the reviews and help me look at what outliers the various academics found to be important.
Today I’m going to spend more time reading those papers that were identified yesterday. It was very overly ambitious to think that I could read and digest 2-3 literature reviews per day. That is an expectation from back when all I had to do in a given day was academic efforts. Within the limited windows of a full day of adulting the ability to consume 30 pages of a journal article simply takes more time. That is the nature of things I guess as we move forward into this study of machine learning. I’m going to move along at the best speed possible and focus on making quality contributions to the academy of academic thoughts. At this point in time, trying to just spew out content is a fool’s errand to deliver errata destined for a historically dusty shelf at the academy.