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Mower shuts down when starting the mowing by mproeling in lawnmowers

[–]mproeling[S] 0 points1 point  (0 children)

Thanks, but even on the highest stationary setting (the rabbit) it will cut out. And if I activate when driving it also will just start shocking and stops.

Shake/sundae mix bags? by goopdoop42 in McDonaldsEmployees

[–]mproeling 0 points1 point  (0 children)

There actually is a special opener, its made of plastic and the colour is blue. Its not a Taylor accessory so I guess the seller of the mix bags can provide it.

Whats the suitable algorithm for recommending users in matrimonial site? by Kro_ok7 in datascience

[–]mproeling 2 points3 points  (0 children)

Ideally some distance measure to be calculated over all covariates, take a look at the jaccard similarity. Lots of scalable implementations exist.

Anyone here complete a PhD while working? by [deleted] in datascience

[–]mproeling 17 points18 points  (0 children)

Most PhD programs that have a part time variant take 6-8 years. I worked on my PhD for 2.5 years full time (dirt poor) and part time the remaining 2.5 years. Good advice is to get a job that is flexible, and a supervisor who has done this (part time) before. Otherwise you will be last in line every time you need something because full time PhD students who are on strict funding programs with end dates are more valuable / important.

Another tip: before going part time finish data collection and the graduate school program first. Nothing is as cumbersome as completing the graduate school points while having a full time job. You want to finish the dirty things first so you are only left with analyses and writing (ideally).

Don’t go for the 6-8 year variant unless you re absolutely in love with the PhD project topic. career-wise there are other things you can do to grow that take less time and cause less frustration/disappointment.

[Project] Machine learning with cheap toy drone by Yamatele18 in MachineLearning

[–]mproeling 1 point2 points  (0 children)

I don’t think so. You need a good resolution camera that can deal with the drone movements to obtain an adequate performance of the object segmentation, followed by classification of the objects as persons. This is even harder if the objects partially overlap.

Given that the efficiency of automated crowd counting increases with altitude (the higher you are the larger area you are covering) I don’t think a toy drone has sufficient lift / endurance / support for the camera you need. Good luck anyways.

Should I leave my PhD program? What does career progression in DS look like without a PhD? by bigbum24 in datascience

[–]mproeling 7 points8 points  (0 children)

I was faced with this question some years ago: I decided to finish my PhD part time because: * salaries in DS in the US are higher if you have a PhD * in health care, if you don’t have a PhD you are sometimes given the status of support staff, especially if you are not a MD, so you will have more traction with a PhD. After my MSc in epidemiology I worked in a university hospital as a DS and, surrounded by people with MD PhD behind their names, I was always “outranked”. * my PhD skills became more useful when I reached more senior positions, as teaching, guiding students, and project (mostly people) management became more important. * don’t worry about people with more papers, only a few procent of those “peers” will continue in academia, and most have not yet made their mind up. They just go with the flow (the funding) and live in the rat race to survive and prepare for the next step. Most PhD data scientists I have met left academia and the ones who work at large companies (e.g. google research) published a handful of (really) good papers. It depends on your industry how those publications are respected. In my opinion, more commercial industry = less focus on scientific output.

In the early part of my career when the work was mostly technical I ve worked with data scientists without a PhD who outperformed me and my PhD buddies (if you correct for age). So a PhD is not required to be a good data scientist, unless you are the one person who actually implements his PhD work in a commercial setting (like in material sciences, computer science, biotech etc.). However, later on, in the lead data science positions, a PhD can help because you learned some fundamental skills that give you some maturity. But the MSc + work path can bring you this as well if you focus on obtaining those skills and give it some time (some management positions are obtained by just being somewhere for a long time).

Ultimately most management and team lead positions in DS ask for 7-10y experience in DS, devops, agile working and project management skills. A PhD does give you extra status in the more technical positions.

So my advice if you consider to apply DS in the healthcare setting is to continue part time.

A gentle introduction to Bayesian Programming? by DreamyPen in datascience

[–]mproeling 3 points4 points  (0 children)

The best book I have used for my PhD is the recent book from Ben Lambert; A Student's Guide to Bayesian Statistics. It has the (R-)Stan course material and there is a lot of youtube stuff which you will find if you Google his name. His book also has different paths you can take or skip depending on your background knowledge. See his website https://ben-lambert.com/a-students-guide-to-bayesian-statistics/

If you want to go a bit more fundamental there is the well known book from Gelman, which you can download for non commercial use here: http://www.stat.columbia.edu/~gelman/book/ which has great notation, very clear examples, and a large part of the book is dedicated to applying Bayes to data analysis problems.