Summer updates

I am hanging on in the Machine Learning MOOC! Week 9; barely! I am trying to keep my eye on my progress and focus on how much I have actually learned instead of how frustrating it is to repeatedly get something wrong for several hours in a row.

I was talking to some friends about defining characteristics of success in their occupation, and persistence came up as a candidate for computer science. Persistence is definitely a weak spot for me, and I’m learning both machine learning and programming simultaneously, so this class has been a real trial. Hopefully I will be able to look back on it in the future and say, “if I can finish that machine learning class, I can do this!”

I have mostly stopped weekly planning. Travel, having guests in town, committing to a new project, and trying out a new objective setting plan have colluded to derail that project. I learned a lot, though, and I wholly recommend trying it, even if the lessons you learn are from what stops you ūüėČ

Speaking of which, I’ve started daily objective planning.¬†As part of testing an app my partner is building, I’m setting objectives to further my life’s current projects. I can’t wait to share more info about that app with you, but for now,¬†the practice of daily objective setting generally has been really effective for me. Putting each objective under a large-scale project that I believe is important has been just as motivating as the crossing off of them each day. I have a bigger-picture view of my life and a better ability to balance the urgent with the important.

I fly back startlingly soon and have a lot to do! I’m working on a literature review, so I will have lot of actual science content to share with you shortly :)

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I’ll Try Really Hard Not to Drop Out of this MOOC

Is this Angelina Jolie?
No, I don’t think it is. (Photo Credit: Bart Everson via Flickr)

I’m taking a MOOC! A MOOC is a Massively Open Online Course; this one is on a platform called Coursera, and it’s about machine learning.¬†ML allows computers to learn in a meaningful way without being programmed. Google uses machine learning to improve its search results, Apple and Facebook use it for their photo recognition software, Tesla (and many others) use it in their self-driving cars, Google used it to beat the best humans¬†at¬†Go, a famously¬†complex¬†game, and IBM’s Watson is helping people tackle cancer.¬†Not that I intend to compete with any that, but suffice it to say, I’m interested.

There are lots¬†of people in our “class”– last we checked,¬†around 750 had introduced themselves on the forum! Of course,¬†studies show that completion rates for these types of classes are low– a little below 7%. I am definitely concerned that I might be part of the 93% who drop out for whatever reason, so I’ll promise in advance to be reflective and write a post about why I quit if I in fact do. I read through some of the posts my classmates have made introducing themselves, and they truly are from everywhere– France, India, China, Rwanda, Kentucky– and have all different levels of education. I’m not the only doctoral student, and there’s at least one middle school student enrolled!

For this class, there’s some recommended content knowledge, but no formal pre-requisites. It doesn’t cost money to take the course, but if you’d like a certificate, you can pay about $50. B and I aren’t taking it for a certificate, we’re just curious!

It’s not part of my degree program, so I don’t need to take it for any kind of credit– I think the understanding of the technology and the social experience of taking an online computer science course will be useful for my research. Machine learning could¬†be an interesting data analysis method for me. It will certainly require¬†its designers to make interesting ethical choices, and if I get the chance to study such a design team in the future, it will be helpful for me to understand the technology they are using.

So far, the class is interesting. This week, we are¬†learning about the algorithms that statistical programs like R use to find coefficients for univariate regressions. It’s a fun counterpart to the linear modeling class I took first term which used that kind of software. It promises to tough, and an excellent opportunity for me to practice what I’ve been learning about growth mindset and grit!
We completed our first week today.¬†I’ve passed all my assignments and have only cried once!

More info (& crying) to come on this, I’m sure.

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