This post is only partly about coffee. It really is about my struggle with office chair mats.
Today started with a wonderful cup of coffee. Instead of sporting two shots of espresso this morning it seemed like coffee is the way to go. In a little bit today before the start of the two NFL playoff games, I’m going to need to buy a new office chair mat for my home office CEO chair. Earlier this week the last floor mat sort of splintered and had to be put in the garbage. Since living in this house this will the 3rd floor mat for my office chain in the last 5 years. That seems a little bit out of control in terms of floor mat sustainability. Using my Scandanaviang Designs Wau office chair on the carpet is strange. It takes a lot of effort to move around. My guess is that this type of rolling around is probably not good for the carpet. My plan is to visit Costco first and then Staples as a backup route to finding a new office chair mat.
This morning I’m watching the week 1 course content for the Coursera “Crash Course on Python” series the Google team recently released. It seemed like a good idea to just jump in and do the courses to change things up a little bit in my regular routine.
As part of that course I just went out and looked at some fun documentation:
I downloaded the “Think Python: How to Think Like a Computer Scientist” book in PDF format (Downey, 2012).
I’m now done with week 1 of the “Crash Course on Python” Coursera course in the “Google IT Automation with Python” specialization.
Ok. 2020 has started and my writing output is lacking so far this year. Starting right now a small amount of time every morning and every evening will be devoted to the fine arts of writing epic prose or at least the creation of semi-muddled stream of consciousness driven prose. Was that last part a pivot against expectations? Potentially, that is why that fork in the road was put down on the page. Instead of thinking that way it would probably have been better to just accept that everyday things will keep getting better as the craft of writing is practiced one post at a time. That is where my head is at right now in this moment. For the most part during my writing journey the things that get put together as part of a weblog post are published almost immediately and very rarely edited after the fact. These posts are pretty much — what you see — is what you get expression of creativity in the moment published just after creation.
Writing has to be a part of my daily routine. Sometimes the plan breaks down and that does not happen. Overcoming that obstacle is an important part of making sure that writing is a continuous part of your daily routine. Writers write. That is what they do and how they do it. One of the more consistent themes in this weblog is writing about writing. Just the process of typing and writing for a bit is the very thing that breaks down blocking factors and helps the words flow like the second cup of coffee for the day. That first cup never really flows the same way. Maybe it will never get the same amount of fanfare, because it is simply not going to be met with the same amount of enthusiasm. That is essentially what happens when you start writing about writing. You end up going until something worthy of enthusiasm shows up.
Routines have fallen way to a nearly endless stream of things that need to be delivered throughout the last few days. That happens from time to time. Tasks pile up and end up crushing routines. At the end of the day, I spent the last few minutes of the day working on a few things that needed to be done. One of them included putting together a little bit of content for a conference this summer.
DATAx 2020 Conference Topic Area: Machine Learning
Session Description (100 words inclusive of title):
Title: Figuring out applied ML: Building ROI models, repeatable frameworks, and teams to operationalize ML at scale.
Description: Solving the hard problems requires operationalizing ML at scale. Doing that in a definable and repeatable way takes planning and practice. Understanding how to match the deep understanding of subject matter experts to the technical application of ML programs remains a real barrier to applied ML in the workplace. Understanding applied machine learning models with strong potential return on investment strategies helps make delivery a definable and repeatable process.
Well that worked out to a total of 87 words. Maybe I should sit down and write another sentence to flush out the full 100 word quota.
- Beginning to think about the process of building machine learning ROI models
- Setting the foundation for defining repeatable machine learning frameworks
- Building teams to operationalize machine learning at scale
Well that is the content I needed to generate before the end of the day. Tomorrow, I need to spend some time working on some new slides. That is going to take a little bit of focus. Some of that content was sketched out the other day by hand. Maybe I should have started with the end product in mind instead of some back of the napkin sketches on this one. That might have helped turn the slides into reality a little bit faster. This approach is really both delaying the final product and maybe improving it. Sometimes you have to produce a couple of drafts of something to get to the finish line. Other times you only need to sit down and write it one time to create the final product.
Well it appears that 2020 is here and moving along already. It takes time to realize that life remains more important than time, but time remains precious. Right now I want to sit down and spend the next thirty minutes producing prose for the sake of producing prose. That is where my time is going to be focused. Some of that has to be about focusing. Some of it has to do with using my time in the best possible way. This weblog post today will not have any featured image attached to it. I know it is better to have media attached to each post. Taking a photograph of something everyday should be relatively easy to accomplish. Using the keyboard on the Google Pixelbook Go has been pretty easy and it has been comfortable to use. Working to write a million words on this keyboard is a nobel goal that should be possible given enough time.