Update: Day 6 after surgery
My right leg still hurts like hell when I try to bend it. It looks like my progress went backwards in that sense. It makes it hard to walk without a limp. I had trouble sitting in cars today. I get sharp pains in my muscles at the nail spot when I try to bend it. I'm calling the nurse tomorrow morning to ask if thats normal.
My left leg is totally normal. I took an oxycodone a few minutes ago. I want to see if that makes it easy to bend my leg. Otherwise I'm just keeping it elevated. It doesn't look swollen at all, but feels like it is swollen.
I probably shouldn't have walked so much on Monday and Tuesday (7200 and 10000 steps).
Quote from: Ghostfish on March 28, 2019, 03:21:57 AMOh sorry to hear that your right leg got worse. Don't push too hard to work out or to walk. Try to be easy on your legs until they get better.
Hope your legs, especially right one, get better soon.
I agree man. After work I'm just sitting in bed with my legs elevated. I cancelled all my plans this week. I'm just going to sit at home and rest.
Quote from: 7231 on March 28, 2019, 09:52:13 AMsorry to hear that, your recovery has been amazing, take good care and follow doctor's advice and i am sure it will be all good. btw puru - may I ask a question? you wrote you are in AI/Machine learning , did you study computer science or statistics/analytics and are you more like data scientist or software developer? just curious 
(since I want to get into AI/ML and make good bucks but confused between stats/analytics/data scientist path or CS/software developer path). thanks a lot.
I will!
I may have mischaracterized my job when I said I used to do AI/Machine learning. I developed a platform for a company to do Machine Learning. I didn't develop the actual ML models. I worked with the Data Scientists who did that. My main job was 'full stack web developer' focused more on the backend systems. I have a similar job now, but its more focused on front end.
For most of those jobs I dont think the major matters as much as your experience (as Realistic said). However in order to have your foot in the door, I highly recommend getting a Computer Science degree from either a top 10 program or from a big state school (like University of Washington, etc). Then again, there are so many different paths to get into that field. I think the best option is to somehow get your foot int he door and find a good mentor to hone your skills with. This sounds easy but is actually really hard. If you work at a big company in a software role, I think it can be easier to network and find your way into a ML/Data scientist role where you can find a mentor and learn best practices. It probably wouldn't hurt to take a few courses by Andrew Ng on Udacity or Coursera in order to at least be conversant in the field (this will make networking easier, and show that you are enthusiastic about it).
There really is no 'correct' answer on how to break into this career. People take many different paths. Mine was a pretty straightforward one (Get into a good engineering school -> get a job).
Quote from: totallyred on March 28, 2019, 01:08:15 PMLolz...the forum name should be changed to Limb Lengthening cum Career Counseling forum.
I don't mind. I think theres a lot of software engineers on this forum. ShortLivesMatter and OverrideYourGenetics are both SWEs as far as I know.
Quote from: Realistic on March 28, 2019, 02:57:16 PMNot just another brown engineer ..That made me smile..
Anyway,to become a good Data Scientist,I believe that you should have good programming skills(ideally Python) buttressed by strong knowledge of statistics,linear algebra, multivariable calculus etc..Some companies stress more on one versus the other but most want you to have good breadth in each of the above..Good luck
Agreed. Theres a lot of knowledge to cover and it can seem overwhelming at first. I used to wonder if I'm learning the correct thing or wasting my time learning something irrelevant. Thats why I think its very important to find a mentor. Maybe if you are still in college, try to find a professor who needs help with this in one of his/her lab projects. It might give you experience that can be leveraged to get a 'foothold' into the field.
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Take my career advice with a giant grain of salt. Everyone's situation is different.
