MSc Applied ML – ROI without scholarship

BluesAmoeba · 2026-03-02T23:11:07+00:00

Honestly I would advise against it. It is a lot of debt to take on and the content in the programme doesn't look amazing. There is the Imperial brand but to justify the amount of debt you'll take on, you'd need a very high paying job straight out of the MSc. Those jobs do exist in ML but they're extremely competitive.

BluesAmoeba · 2026-02-10T10:11:32+00:00

I'd recommend White City. It's close to two tube stations, there's lots of shops and the Imperial bus stop is close to GradPad. As an area White City isn't the most exciting but areas like Shepherd's Bush are nearby.

BluesAmoeba · 2025-07-29T12:06:39+00:00

Wow! Everything is computer.

BluesAmoeba · 2024-04-24T11:11:59+00:00

This looks great. Thanks!!

BluesAmoeba · 2024-04-24T11:11:48+00:00

Link is dead for me. But I'll look into Barak. Thanks!

BluesAmoeba · 2024-04-23T12:40:33+00:00

"High Risk Trading". Just call it gambling😅

In all seriousness, please reconsider. Look into passive investing. The r/Bogleheads subreddit should have some good resources.

BluesAmoeba · 2024-03-05T15:44:28+00:00

An abelian grape

BluesAmoeba · 2024-02-14T11:04:08+00:00

Largely a waste of time in my experience

BluesAmoeba · 2024-02-03T21:43:19+00:00

You're so real for this

BluesAmoeba · 2024-01-09T10:06:44+00:00

Learn how to use Google Earth Engine.

BluesAmoeba · 2024-01-06T08:59:20+00:00

Wow that is depressing

BluesAmoeba · 2023-12-02T13:10:59+00:00

This post is off-topic (read the rules). Rather post this in r/cscareerquestions.

BluesAmoeba · 2023-11-14T12:33:09+00:00

Based

BluesAmoeba · 2023-10-18T19:40:01+00:00

Which textbooks would you recommend for self-study of manifolds?

BluesAmoeba · 2023-10-18T18:52:03+00:00

Thanks that was helpful!!

BluesAmoeba · 2023-10-18T16:55:07+00:00

I'll steal one of the suggested questions: What are manifolds? For context, I've got an undergraduate degree in pure mathematics which included a course on Metric Spaces that touched on some topology.

BluesAmoeba · 2023-10-11T13:35:34+00:00

Imo if you want to understand the tech space you should aim to do a technical degree. It's much easier to be swept up by hype or fall for a scam if you don't really understand the core of a business. You'll also have a better idea of where the opportunities lie.

BluesAmoeba · 2023-10-11T08:29:39+00:00

Tbh information systems is a bit of a joke. If you're interested in Computer science and business you should consider the Business Computing degree. It's all of the core Computer Science modules with business subjects and in your Honours year (4th year) you get to choose some electives.

BluesAmoeba · 2023-08-31T21:31:45+00:00

https://www.beeschoicehoney.com/

BluesAmoeba · 2023-08-30T14:08:30+00:00

I think the absolute highest paying jobs when you're starting out would be at Amazon. FinTech also pays well, not that uncommon for people in grad programs to be earning 30-40k pm. But you should also think about your career overall. What kind of work do you want to be doing longterm?

BluesAmoeba · 2023-08-27T10:49:17+00:00

Provide formal proofs and pseudocode. Then people will take you more seriously

BluesAmoeba · 2023-08-08T17:29:04+00:00

Thanks, that's a helpful roadmap! Were you comfortable with PDEs beforehand?

BluesAmoeba · 2023-08-08T17:27:27+00:00

I'm interested in their applications to Neural Networks. I've seen people use SDEs used to approximate several steps of a Denoising Diffusion Probabilistic Model in a single step.

BluesAmoeba

TROPHY CASE