4 ms·
Gate keeping is only obsolete when it ceases to have impact. The reality right now is that ML is extremely hard to enter even for a very knowledgeable and deepl
by foobiekr 9y ago
Gate keeping is only obsolete when it ceases to have impact. The reality right now is that ML is extremely hard to enter even for a very knowledgeable and deeply experienced but non-credentialed (by degree) person.
It will be interesting to see how the situation evolves but my own observations are that people trying to enter the space might be better off getting a quickie masters if they can afford the time or cost than to try and bootstrap it.
- eanzenberg 9y agoEven people getting a quickie masters is hit/miss in my experience. At the end of the day, successful machine learning engineers require a whole suit of different skills, both technical, communicative, and even life skills that don't really exist for software devs. Not all those can be taught in 3 months, 2 years or even 6 years.
- ariwilson 9y agoLife skills? Communicative skills? What?
- eanzenberg 9y agoIMO essentially ML experts don't work in a bubble and may interface with potentially anyone at a company; C-level, engineering, product, marketing, ops, etc etc. What other tech-employee needs that flexibility? So, I grouped communication / life skills into being able to understand, read, interpret and ultimately provide value to potentially any team. Just having the technical skills will only get you so far.
- ariwilson 9y agoIMO software engineering experts (leaders) need to do the same thing.
- stevbov 9y agoIsn't this part of what most software engineering degrees teach though? Particularly surrounding project planning and requirements gathering?
- kevincennis 9y agoI might be an outlier, but I interface with all of those on a daily basis in my role as a software engineer
- achompas 9y ago> both technical, communicative, and even life skills that don't really exist for software devs Not a fan of this "data scientist is a unicorn" style of thinking. The best people in any profession (especially software engineering) also use these skills in their day-to-day work.
- xapata 9y agoData science isn't yet as stratified as software engineering, so there's less room for those without those "unicorn" skills. 10 years ago, there was no room at all. 10 years from now, there will probably be plenty of undergrads hired as junior data scientists.
- canyon289 9y agoI agree with this comment. My experience has been that people don't really look at your resume unless you have machine learning experience on your resume or one of the stats type majors
- deleted 9y ago[deleted]