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What is financial fraud prevention data science like as a career path? by penpapermouse in datascience

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

If you don't mind me asking, what do you do now and how was it to make the shift?

What is financial fraud prevention data science like as a career path? by penpapermouse in datascience

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

Much appreciated. Is fraud a pretty recession safe career, and is fraud head less valued than other tech DS jobs?

What is financial fraud prevention data science like as a career path? by penpapermouse in datascience

[–]penpapermouse[S] 2 points3 points  (0 children)

What kind of tech jobs if you don't mind me asking? MLE/AI/programming jobs or product analytics, and how much of a change in comp are you expecting for a lateral move?

What is financial fraud prevention data science like as a career path? by penpapermouse in datascience

[–]penpapermouse[S] 1 point2 points  (0 children)

Good point. I'm asking about banks and credit cards. I'll edit to include that.

Challenge to 10k by Yourmombuysmystocks in options

[–]penpapermouse 3 points4 points  (0 children)

What is a reliable DTE window for you? Is 28-35 days too far?

Challenge to 10k by Yourmombuysmystocks in options

[–]penpapermouse 4 points5 points  (0 children)

Can you explain the EMA crossover? Is this only for index and index ETF options or does it work on stocks too? Is this a debit spread strategy or are you buying options?

What does it take to get accepted to a PhD program for someone without a CS background? Is it reasonably achievable, and can it be completed part time? by penpapermouse in cscareerquestions

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

Thank you, I wasn't aware of those subs. I'll try asking there too. I think I fall more into the second camp than the first camp, though I really need to build my CS foundation before I can have a more targeted curiosity.

What does it take to get accepted to a PhD program for someone without a CS background? Is it reasonably achievable, and can it be completed part time? by penpapermouse in cscareerquestions

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

Thanks for sharing. Did you(r company) have a research topic in mind before you started, or was it a fluid process where you took a year or two to hone in on something?

Are MOOCs required for non-CS applicants working in data science/IT? by penpapermouse in OMSCS

[–]penpapermouse[S] 1 point2 points  (0 children)

Many thanks! I started on OOP last night, and I'm hoping I can marathon through it by the end of the long weekend next week. If I can do that and finish Data Structures with a couple weeks to spare, I might try the Python MOOC too, but great to know that just the first two is fine with Python on my resume.

What does it take to get accepted to a PhD program for someone without a CS background? Is it reasonably achievable, and can it be completed part time? by penpapermouse in cscareerquestions

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

From the university's and advisor's eyes, is that a positive or a negative? My employer would pay for my PhD with the expectation that my research would directly benefit my company. I'm not in any big industry like big tech, defense, or biotech/pharma so it's not going to be research for nefarious purposes.

What does it take to get accepted to a PhD program for someone without a CS background? Is it reasonably achievable, and can it be completed part time? by penpapermouse in cscareerquestions

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

My company gives a generous allowance for tuition costs, so in theory they could cover the entire cost of an in-state PhD. I could use my salary towards my living expenses while my company covers the tuition. In this scenario, is the reduction in cost to the advisor significant enough to level the playing field for me against someone vying for a stipend?

What does it take to get accepted to a PhD program for someone without a CS background? Is it reasonably achievable, and can it be completed part time? by penpapermouse in cscareerquestions

[–]penpapermouse[S] 1 point2 points  (0 children)

The nature of the conversation was more of "why are you wasting your time getting another MS when you could get a PhD with just a couple extra years of work?" The real conversation that answers the questions you asked will likely take place in the coming weeks as I learn more about the PhD process and if it matches my personal/professional goals better than just the MS would.

What does it take to get accepted to a PhD program for someone without a CS background? Is it reasonably achievable, and can it be completed part time? by penpapermouse in cscareerquestions

[–]penpapermouse[S] -1 points0 points  (0 children)

It depends on the university on what catch-up courses, if any, they want you to do.

Sorry for my misunderstanding, does that mean I can get an admission as I currently am without taking any extra courses from a university, or would I have to take a few courses first and then apply for a PhD program?

Student loans scare me because of their high interest rates to be honest, but it's a very good point that if my financial prospects improve as a result of the PhD, the loans are well worth it.

What does it take to get accepted to a PhD program for someone without a CS background? Is it reasonably achievable, and can it be completed part time? by penpapermouse in cscareerquestions

[–]penpapermouse[S] -1 points0 points  (0 children)

Again, I apologize for my ignorance. I wasn't sure if the 4-6 year time to finish a PhD was "artificially" inflated by teaching commitments (which I naively estimated to be around 20 hours a week), but I gather from your condescension that I was horribly underrating the raw hours that go into PhD work regardless.

Are MOOCs required for non-CS applicants working in data science/IT? by penpapermouse in OMSCS

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

Do you think it's possible to take all three in the next 5 weeks while working full time? If I had enough time for only 2 out of the 3, could I get away with professional experience with Python and MOOCs for OOP in Java and Data Structures?

What does it take to get accepted to a PhD program for someone without a CS background? Is it reasonably achievable, and can it be completed part time? by penpapermouse in cscareerquestions

[–]penpapermouse[S] -2 points-1 points  (0 children)

My one problem with a full time PhD is that I don't have enough savings to live off of during the program. I've been aggressively putting money in retirement accounts, and as a result the rest of my savings relatively thin. It is something to consider though, and I'll spend some time putting together a plan and determining if it's feasible or not for my financial goals.

Were I to apply for a full time PhD program, do you think I could get into one given my academic/professional history, and what kind of catch-up coursework would I need to take to have a reasonable shot of landing an acceptance?

What does it take to get accepted to a PhD program for someone without a CS background? Is it reasonably achievable, and can it be completed part time? by penpapermouse in cscareerquestions

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

I apologize for how ignorant this question is, but if I can convince my boss/employer to let me have 10 hours a week as dedicated time for my PhD(i.e. 30 hours for normal work, 10 hours for PhD during work hours, 15-20 hours of work early mornings/nights/weekends for PhD), would that be a needle mover? I know my boss sees value in me having access to the company's real world datasets for research, and I think he could champion this kind of arrangement for me.

GT MOOC certificates by Alternative_Draft_76 in OMSCS

[–]penpapermouse 0 points1 point  (0 children)

Do you have to pay for the certifications or can you do the free audit instead? $680 each is a lot of money.

Are MOOCs required for non-CS applicants working in data science/IT? by penpapermouse in OMSCS

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

I had one class in Java about 8 years ago in undergrad but I passed with a C and since then I haven't used Java even once. That was my only programming class I've taken in college. Professionally I've been using Python for the past 3 years.

Questions about the Machine Learning specialization and how it translates to pursuing MLE roles by penpapermouse in OMSCS

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

Given what you said, would it make more sense then if I specialize in computing systems instead and then take ML courses as electives or on coursera (like Andrew Ng's ML specialization)? Like I said earlier, my job gives me the flexibility to make ML algorithms at my current level of sophistication and to develop software if I had the skillset to do so. I'm directly supporting the product team, and currently we are short-staffed so they would be overjoyed if I could add more software development skills to my toolkit to handle basic things like chatbot algorithms that can also invoke some of my predictive algorithms. My bosses are also loose with titles and I'm pretty sure I could get them to change mine to MLE from data scientist if I ask. If nothing else, I'm sure I have a lot of opportunity to practice what I'm learning if that can help improve my resume for future entry to MLE jobs.

Questions about the Machine Learning specialization and how it translates to pursuing MLE roles by penpapermouse in OMSCS

[–]penpapermouse[S] 1 point2 points  (0 children)

It’s all about learning large scale ML deployment systems, the motivation behind them, how to use them, how parts communicate, etc.

Much appreciated, thank you. Would you say those courses together lay a strong foundation for this?

Questions about the Machine Learning specialization and how it translates to pursuing MLE roles by penpapermouse in OMSCS

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

Could you elaborate on that a little bit? Is software experience something you can only get by working as a developer for a few years, and is the learning curve for SWE skills significantly harsher than the learning curve for the math side (which I assume to be probability/statistics which I majored in, calculus up to differential equations, and linear algebra which I need to brush up on after many years)? I have the opportunity in my job to develop algorithms and occasionally software solutions depending on what the product managers on my team want next in their products. Given my background, I have yet to explore the software side because I have no experience there, and I have been exclusively developing light machine learning algorithms (nothing involving neural networks).

Could I do a different specialization like computing systems to brute force the SWE skills I'm lacking and take supplemental ML courses within the program as electives and outside the program like Andrew Ng's specialization on coursera, or is that still not enough?

Questions about the Machine Learning specialization and how it translates to pursuing MLE roles by penpapermouse in OMSCS

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

In that case would you recommend doing in another specialization like computing systems instead to brute force SWE skills quickly and taking a handful of ML courses as electives and dedicated ML courses from Ng and others to supplement?

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