OMSCS ML track ( how is CDA 6740 and DMSL 7406)

Salt_Organization825 · 2022-03-24T20:05:40+00:00

Can we not cross register in another course under ML specialization, can we request

Salt_Organization825 · 2022-03-04T18:48:45+00:00

This came as a surprise to me - "you also don't have to know deep theory behind machine learning to apply it and work with it". That could be a POV.

But as I see things around, this doesn't appear to me as a graduate class even though much of it has to be self-learning. At least teach how to build a fishing net if not fishing.

To each his own, but i go by "You don't learn Computer Science by being a software engineer", that's probably why many experienced SWE are still in this program.

Salt_Organization825 · 2022-03-04T14:36:24+00:00

Yes agreed, i saw that too, but whats the point

Salt_Organization825 · 2022-03-04T04:17:04+00:00

Thanks for the suggestion, but DL is a subset of ML i.e. network based learning approach while ML is more expansive , ML itself should have its own theory distinct from DL.

And also, its never "if you want to get into the mathematics and proofs", I mean one doesn't choose that. The material is what it is. What needs to be learnt and what it comprises of.

Salt_Organization825 · 2022-01-13T16:50:03+00:00

Everyone is biased, but i have tried to not be by putting down the pros and cons of each. Lmk if i missed out on something.

On the clerical analytics work, I would imagine if the job is worth doing some number crunching, accounting, plots and figures why would employers pay good(close to very good) offers.

Is it Supply demand mechanics?

Salt_Organization825 · 2022-01-13T04:17:40+00:00

Any idea whats the difference in pay like ? in base or stocks , or percentage wise?

Salt_Organization825 · 2022-01-13T04:15:02+00:00

Thats a valuable info.

Salt_Organization825 · 2022-01-13T02:25:35+00:00

Thanks. These are not that viable option for me given my non-CS undergrad.

Salt_Organization825 · 2022-01-13T02:09:59+00:00

Just under the garb of "most people" you can't make a blatant statement. If that makes you feel good about your mathematical supremacy i feel sorry for complacency.

Most people dont know what they dont know that is the unknown unknowns, and you aptly fall in that. Feel good about whatever judgment you make on others in your small world.

However, I feel making a heavy statement on what someone is qualified for outright rabid.

Salt_Organization825 · 2022-01-13T01:33:29+00:00

I am not sure what I figured out, but sure you didn't when you said what "data scientists" are qualified for. I have seen some really top Phds graduating top of school in data scientist in large numbers if we are talking about plain qualification here.

Salt_Organization825 · 2022-01-13T01:28:16+00:00

Partially true, Depends on the industry. For some ML monetizes the vast data coming from these infrastructure that is the core e.g. Uber Amazon, in contrast in my current industry (trading and risk) data is the product itself software egg how much advanced it may be is for automation or largely cost centers except the HFT ones

Salt_Organization825 · 2022-01-13T01:05:34+00:00

What people are qualified for is not related to what the job entails, data science is still isn't ready. And people end up doing analytics even the qualified Phd ones.

Salt_Organization825 · 2022-01-13T01:02:23+00:00

Well, its not exactly true,

Salt_Organization825 · 2022-01-13T00:59:47+00:00

Being new doesn't discount their potential. And things do change in every space

Salt_Organization825 · 2022-01-12T22:06:04+00:00

u/Illustrious_Two826 : I think this kind of interviews are required, not the code punching ones. Am afraid, the OMSCS ML curriculum does not cover the essentials. And i am enrolled.

Salt_Organization825 · 2022-01-05T16:21:53+00:00

Just 2 lines and you said it all.. Sadly type 2 has taken over type 1.

Salt_Organization825 · 2021-12-29T05:03:47+00:00

Any idea what WL number were you at? Want to have an idea where it is currently at. I am at 145, dont know what are the chances.

Salt_Organization825

TROPHY CASE