A few research trajectory notes

Today I finished working on the main content for week 88 of The Lindahl Letter. That one is a bridge piece between two sets of more academic side efforts. I went from working on introductory syllabus to starting to prepare a bit for the more advanced set of content. Initially, I had considered making the advanced versions a collection of research notes that were built around very specific and focused topics. That is entirely a path that might be taken after the 104th week. The packaging on the content instead will be put into another companion syllabus to allow an introductory look and a more advanced topic follow up for people looking for a bit more machine learning content. Functionally those two documents put together will be the summation of 104 weeks of my efforts in the machine learning space. It is the book end to my journey into really diving deep into machine learning and studying it every weekend and a lot of weekdays.

After two years of digging into the machine learning space I’m going to pivot over and focus on writing and studying artificial intelligence in general for year 3 of The Lindahl Letter. It should be a fun departure and hopefully it will mix things up a little bit with a broader collection of literature. A lot of people talk about deploying AI in the business world and almost all of that conjecture is entirely based on deploying a machine learning model into a production environment. When those same people deploy an actual AI product they will hopefully see the difference.

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