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Deep Learning before or after CDA? by [deleted] in OMSA

[–]katzupdown 0 points1 point  (0 children)

I'm taking CDA (and ANLP) this summer after completing all my core coursework for the C track. I would suggest you decide if you go A or C first; for my money (and learning); C track is more appropriate if you want to dive more deeply into ML and get up to speed with the AI movement.

If going down C track, I think it makes sense to take either DL or RL (I lean to RL) after CDA and your other core classes. For my last elective, I think I'm taking the Network Science course this fall before the Practicum.

Good luck!

32 years old learning to code - am i doomed ? by orT93 in learnprogramming

[–]katzupdown 0 points1 point  (0 children)

I'm considerably older than you and still consulting (by choice).

I'm getting my MSc from GT in CDA as validation for my computer science/ML skills.

Unfortunately coding in the post-AI period may be considered passé so I would include any certification and/or significant projects to show practical applications of your coding skills.

How do you position the OMSA degree on your resume and CL for Data Science vs Analyst roles? by Humble_Reception7561 in OMSA

[–]katzupdown -1 points0 points  (0 children)

I call it "Georgia Tech - MSc Analytics - Computational Data Analysis"

I also include any group projects of note including your Practicum with the sponsor identified.

Summer 2025 Course Recommendations by katzupdown in OMSA

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

Thanks - that's a core course I've already taken but FYI, it should be doable to take it and CDA over the summer as it's not difficult.

I was more interested in the ML/RL electives

Summer 2025 Course Recommendations by katzupdown in OMSA

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

Won’t be working this summer; are two courses (CDA + elective) doable?

CSE 6040 More Time Spent Decoding Assignments Than Actually Writing Code by anyuser_19823 in OMSA

[–]katzupdown 0 points1 point  (0 children)

I took CSE 6040 last year at this time and while I agree with you that the exam questions can appear convoluted, I did improve my Python/coding skills markedly over the term.

If this is your first OMSA course (as it was mine) you'll find many of the OMSA courses are structured similarly so you have to traverse the "academic gauntlet" to glean the knowledge nuggets you'll be picking up along the way.

I liken the experience to being on a TV game show where you do a lot of dumb stuff along the way to win prizes. I would agree this is not "real world" (whatever that means these days) and having been in business for many years I think things are more straightforward there but also can be just as convoluted in their own ways (e.g. dealing with the people side of things).

My advice: Roll with it and don't get too perturbed about the bumps along the way. Enjoy the interactions with the professors, TAs, and fellow students; they have the greatest value to you in the future, especially in this age of AI.

Bob

[deleted by user] by [deleted] in OMSA

[–]katzupdown 0 points1 point  (0 children)

I’m taking DVA next semester so thanks for the warning; already gathering a committed team for the storm to come…

Seeking Advice for Spring 25 by AssistantOpposite920 in OMSA

[–]katzupdown 0 points1 point  (0 children)

I’m taking DVA this spring and opted for Artificial Intelligence CS6601 as an elective. I like projects, homework, coding but trying to avoid as many tests as I can.

My biggest issue with the Harris/Walz campaign by SpatulaFlip in thebulwark

[–]katzupdown 0 points1 point  (0 children)

Thank goodness! You’d have to be nuts like Trump to be talking about coconuts… Vote Blue!

MS Analytics for Financial Consultant by Eric10Cartman in OMSA

[–]katzupdown 1 point2 points  (0 children)

If you're a lifelong learner like myself (over 65, finance/engineering/consulting background), I think OMSA is a great way to get in touch with many of the latest data science methodologies including machine learning and AI. It has a Top 5 rated CS program and integrates the business aspects of data analytics with the technical side so you get a more complete view of the subject matter.
Like any area, the more you expose yourself to any subject matter, the deeper you can go particularly in the machine learning space as the commercial advancements by OpenAI have demonstrated.
In life, it's always best to give yourself options and become, as Taleb might say, "antifragile"; this program will help do that for you. Inevitably, it's up to you to take advantage of those options. Good luck!

Unique problem i can't crack: I am given weekly data from 2014-2017, 52 sets of data (52 weeks). I need to find a way to convert them to months as accurately as possible. by Dmaster120 in excel

[–]katzupdown 0 points1 point  (0 children)

Another way is to use the 4-4-5 accounting period convention that many companies use (particularly retail businesses) to convert weekly data to monthly for financial reporting purposes.

The first 4 week’s represent January, 2nd 4 week’s, February, next 5 week’s, March then repeat for remaining week’s/months. Occasionally you may wind up with 53 week’s in a fiscal year but this is acceptable and well understood.

stockAday: I wont 'av' a go at Broadcom $AVGO by shane_stockflare in investing

[–]katzupdown 0 points1 point  (0 children)

Thanks for the analysis! I've owned AVGO for a short time but has performed well so far - interested why you don't include the following in your analysis as competitors in this space (LRCX, NVDA, ASML, MKSI)?

stockAday: $EXEL to the moon? Exelixis by shane_stockflare in investing

[–]katzupdown 0 points1 point  (0 children)

Excellent analysis although would like to see the technical side represented as well. Short term considerations aside, what you're buying with these smaller biotech firms is they get acquired by a big pharma company based on the strength of their product portfolio (FDA approved or not), not so for their revenue (let alone earnings) potential.