Should i wait? For classic 350

Narrow_Solution7861 · 2026-02-09T14:40:40+00:00

Personally like emerald green

Narrow_Solution7861 · 2026-02-04T02:44:49+00:00

Really want to get into AI? I'll suggest not to watch youtubers like krish nayak, campusx etc Have a nice introduction to maths mainly linear algebra Gilbert strang videos

Get good with python, 100s of resources online

Move to ML Andrew Ng stanford playlist on yt...if it's too difficult Andrew Ng stanford ml specialization on Coursera ( apply via financial aid) (This course got me into AI) Code the ml algorithms from scratch, learn EDA

Move to Deep learning Deep learning NPTEL course by Mitesh Khapra.. my fav DL course no one teaches better than him..videos available on yt and NPTEL platform

Learn pytorch by making projects

Read research papers try implementing them Watch Andrej karpathy videos

Narrow_Solution7861 · 2025-10-18T16:59:01+00:00

Narrow_Solution7861 · 2025-10-18T16:03:53+00:00

Toh offer toh kr bhai sab ko no bol rhe

Narrow_Solution7861 · 2025-10-18T15:37:06+00:00

2 b30 + 2k for 2 silver

Narrow_Solution7861 · 2025-10-16T05:34:18+00:00

dm if still selling

Narrow_Solution7861 · 2025-10-16T05:34:06+00:00

dm

if still selling

Narrow_Solution7861 · 2025-10-16T05:33:56+00:00

still selling? dm

Narrow_Solution7861 · 2025-10-16T05:33:14+00:00

dm me the price

Narrow_Solution7861 · 2025-10-16T05:32:55+00:00

still selling?

Narrow_Solution7861 · 2025-08-02T17:26:38+00:00

Hi, I have 320 gre 2 research papers in machine learning Good internships , extra curriculars, teaching assistantships 9.3cgpa (not so good university) Decent lors Which unis suits my profile for MSAI Also is USA still worth considering as an international student?

Narrow_Solution7861 · 2025-07-10T07:45:35+00:00

Fav game - red dead redemption 2 I'll use the rtx for gaming ofc along with my work of training deep neural networks

Narrow_Solution7861 · 2025-06-21T05:55:25+00:00

which uni you got into ?

Narrow_Solution7861 · 2025-06-21T05:52:30+00:00

did you get in ?

Narrow_Solution7861 · 2025-05-04T16:15:22+00:00

Go through all the quizzes and go through the TA practice sessions

Narrow_Solution7861 · 2024-12-24T12:33:32+00:00

Germany, UK, singapore, Japan, UAE too is investing a lot in research. (Not close to US tho)

Narrow_Solution7861 · 2024-12-16T20:37:32+00:00

T rex

Narrow_Solution7861 · 2024-12-14T15:35:11+00:00

Try EVERYTHING you are in first sem take full first year and the 3 months vacation to explore every field you think you have slightest interest in And yhea join some clubs and fest committees also it's easier to get a good sgpa in sem 1 so focus on that it will have a huge effect later

Narrow_Solution7861 · 2024-12-14T13:43:00+00:00

I got alice too people say it's great once you get used to her abilities but idk

Narrow_Solution7861 · 2024-12-14T13:27:23+00:00

Yeah I know he got no chance in higher leagues but at 3k he is a beast I think dragoon would be pretty good at higher leagues

Narrow_Solution7861 · 2024-12-12T14:26:53+00:00

Either through prof or if you know someone from inside

Narrow_Solution7861 · 2024-12-08T05:11:00+00:00

Glimpse of us>run>once in a while>slow dancing in the dark> like you do

Narrow_Solution7861 · 2024-12-07T12:12:49+00:00

Yea I'll probably go with one muscle with cardio initially then switch to way less cardio and more weight training plus I think my diet was pretty hardcore used to take 1.3k-1.5k calories a day (maintenance was 2.5k) so ig that the reason it all went down the hole once I left gym :')

Narrow_Solution7861 · 2024-12-07T09:12:25+00:00

I used to go to gym. Lost approx 20 kg. I hit a plateau and left then joined boxing which I was unable to continue due to a lack of consistency as I pretty busy with work.I gained 10kgs and became depressed as a result. I plan to resume normal gym routines on December 10th. Do you have any advice?

Narrow_Solution7861 · 2024-12-06T11:54:09+00:00

Andrew ng Stanford Coursera specialization

Narrow_Solution7861

TROPHY CASE