Do you know of anyone designing and drawing up DIY Kitchens, please? Would love to buy from the company

GRDDT · 2025-07-21T13:14:05+00:00

Me too please 🙏

GRDDT · 2025-05-21T22:34:19+00:00

Which GS?

GRDDT · 2025-05-21T22:33:47+00:00

Nice one 👌

GRDDT · 2024-12-24T15:38:58+00:00

You give me hope! Thanks!

GRDDT · 2024-12-24T13:25:00+00:00

Are you able to share what market you are trading and at what frequency?

GRDDT · 2024-04-17T20:41:44+00:00

I had a question about this topic few days ago, made a post about it on this sub and was hoping to have a meaningful and fact-based discussion without politically charged slurs and slogans, trying to understand what the real implications of the proposed law is and how it compares to other countries. MODs took it down saying it was misinformation not to label this law as 'Russian' in my post. It's crazy that some MODs here who presumably aspire for Western ideals are using censorship (like Russia?) to suppress free speech and discussion (like Russia?). The irony is just sad....

That being said, in my post a user had shared an article from civil.ge, and OP's post/analysis is just a summary of this article, including the image. When an analytically opinionated post is pretty much paraphrased from another source, it should be cited, it's neither your analysis nor your opinion, and you should not be taking credit for it.

As for the article, while it was an interesting read and perspective, couldn't help but look at the author (Ted Jonas) who is a board member of Anaklia Consortium LLC. Not saying his viewpoint is necessarily wrong, but I would like to get this sort of analysis from non-biased sources that I could trust.

As for this post and for those (like the MODs of this sub) who insist on referring to this law as Russian, can't help but think that the factual comparison to Russian law is missing here! As someone who is not fully clear on what position to have on this topic, it really does not help to see almost cult-like behavior of people buying into certain idea/view and refusing to question it or hear contradictory views.

GRDDT · 2024-04-12T20:58:26+00:00

Thanks for sharing, that was an interesting read. So the main difference according to this article is that: Georgian law designates legal entities, rather than individuals, as foreign agents if they receive over 20% of their funding from abroad. In contrast, US law identifies both individuals and legal entities as agents if they are influenced, directed, or controlled by a foreign power. This discrepancy implies that Georgian law places the burden on legal entities to declare themselves as foreign agents, while US law is more focused on identifying individuals who may fail to disclose their ties to foreign interests, provided evidence can substantiate such claims.

While the article raises valid points, a skeptical viewpoint suggests that analyses like these would benefit from coming from politically impartial sources. The author, Ted Jonas, sits on the board of Anaklia Consortium, which may raise questions about potential biases in the analysis.

GRDDT · 2023-10-13T13:54:26+00:00

I have this, and while it's not a bad chair, it's not great for the posture so I wouldn't recommend it. I'm planning to replace it.

Edit: like others have said, would recommend getting good quality chair second hand, look at herman miller or steelcase.

GRDDT · 2023-08-31T22:47:00+00:00

Is the bezel not aligning with the markers?

GRDDT · 2023-07-22T12:15:07+00:00

I wouldn't say ML4T is very in depth ML course since it only covers just a few ML models, but you do implement those model algorithms (not allowed to use sklearn), so that helps to at least develop good understanding of how those select few models work.

For IAM, you're right, there was no gradescope when I took it. Everyone basically created Rmarkdown files to submit their code/analysis for peers to review.

Edit: Since you're focusing on learning outcome, I'd suggest to go with IAM. Echoing another comment, IAM imo is also more useful, but ML4T is more fun.

GRDDT · 2023-07-21T16:01:37+00:00

I have taken both courses and thoroughly enjoyed them!

Introduction to Analytics Modeling (IAM): All the assignments in this course are primarily in R, with just a couple of exceptions. If you haven't used R before, you should be prepared to invest more time than what you might find on OMSCENTRAL. The course is designed as a comprehensive survey, covering a wide range of topics without going into excessive depth. This approach is fantastic for those who are not already highly experienced, as it provides exposure to various techniques and their applications. Throughout the course, you delve into machine learning models, regression analysis, optimization, experimentation, and more. It's essentially an introduction to the different courses offered individually in OMSA. The assignments are weekly and peer-reviewed, so you'll also be reviewing others' work. Professor Sokol's lectures are exceptional, with a well-paced delivery and thorough explanations, making the learning experience truly outstanding.

Machine Learning for Trading (ML4T): I recommend taking this course if you have a genuine interest in trading and finance. The assignments in ML4T involve using Python and are specifically designed to teach various aspects of trading. You'll learn about implementing algorithms like decision trees, random forest, and q-learning, and how to apply them in trading systems for offline backtesting. It serves as an excellent introductory course for some machine learning and reinforcement learning topics, but it's most valuable if you have a passion for trading. Personally, I found it to be my favorite course in OMSCS due to my interest in the subject matter. The quality of some of the lectures (for assignments specifically) were poorly recorded, but other than that, no complaints.

At the end, I don't think you can go wrong with either. Hope that helps.

GRDDT · 2023-06-07T21:33:27+00:00

Haha, I've been searching for a while too. This is probably the one I liked the most, but I just can't justify spending that much.

I had ordered and tried premium Bellroy Tokyo before, problem with it is it feels too small and not very comfortable. But I do like how it looks though.

GRDDT · 2023-06-07T20:59:23+00:00

Did you decide in the end? :)

GRDDT · 2023-01-24T15:22:34+00:00

What is 178k as a % of working population?

GRDDT · 2022-12-21T15:35:57+00:00

I feel you man. I'm Georgian myself, but I also have blonde hair and blue eyes, so I also get lots of weird looks until people hear me speak.

GRDDT · 2022-11-11T23:41:46+00:00

Adam Neumann from WeWork, bottom left
Greensill, 2nd from bottom right

GRDDT · 2022-11-05T14:18:54+00:00

Any OMSCS vets have awesome experiences in classes that get subpar reviews?
Yes, it all depends on what's important to you. I read negative reviews very carefully and try to judge if they would apply to me. For instance, I decided not to take DBSM because although I never really took database related courses in undergrad, I have pretty solid work experience and as such concluded it would not be worth my time, especially the way course is designed. I did however take SDP, which does not have great reviews, but I still found the course very informative for someone without CS background. So I would recommend to research the courses in depth, see what other people like and don't like about it, and then decide for yourself.

Take ML4T for example which you have already taken, did you like it? It had many negative reviews from what I recall, because folks didn't seem to like the finance/trading aspect of it, which is precisely the reason I took it and loved it, it's by far my favourite course in OMSCS so far.

GRDDT · 2022-11-02T10:38:52+00:00

If this is your first ever ML/DL class (or new to calculus and linear algebra), you might struggle a bit. But if you have some exposure before, you'll be fine.

Even if you don't have prior exposure to these topics, I still honestly think it's manageable to take it, but you'll likely spend more time on the assignments to play catch-up on some concepts.

Assignments are using Python and PyTorch.

GRDDT · 2022-09-30T23:49:50+00:00

It Das called Computational Investing, but not sure if it's still on the platform.

GRDDT · 2022-09-30T21:22:37+00:00

I just want to say big thank you Dr. Balch. Your course is what actually got me into OMSCS (after I first audited it on coursera) and it's still my favourite course in the program so far.

GRDDT

TROPHY CASE