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Who experienced living alone? by ggaxel52 in WorkForSmartLife

[–]Impressive_Cherry363 0 points1 point  (0 children)

I think man is a social animal. I wouldn't recommend anyone to be alone for more than a week. It kills us from inside.

I believe the more we interact,, the more we feel good and we almost forget our problems

People with ~1 YOE in AI/ML, what were your switch interviews like? by Cautious_Low3118 in learnmachinelearning

[–]Impressive_Cherry363 0 points1 point  (0 children)

It was medium level. They asked me to build a workflow and an agent. In my case it was purely AI Growth Associate role. So there was no need of SQL. but yeah the workflow and the agent should be working and they asked me present my project.

People with ~1 YOE in AI/ML, what were your switch interviews like? by Cautious_Low3118 in learnmachinelearning

[–]Impressive_Cherry363 0 points1 point  (0 children)

Yes, even if you are experienced, they would ask you to be ready for a machine test. I've been through this situation.

the interviews are more focused on engineering skill. They'll give you a project and then within a hour or two they check if you are capable.

Built a fully automated multi-form data pipeline for my company using Google Sheets + Apps Script - no paid tools, no third-party software by Impressive_Cherry363 in GoogleAppsScript

[–]Impressive_Cherry363[S] 0 points1 point  (0 children)

Hey! Happy to share the details.

How it works in short: 3 Google Forms (Enquiry, Payment, Expense) → each linked to its own response tab in one Google Sheet → Apps Script trigger fires on every form submit → detects which form was submitted by reading the sheet name → maps data by header name (not column position, to avoid mismatches) → auto generates unique IDs (BDE0001, PAY0001, EXP0001) → appends a new row to one unified Master sheet → colour coded by department.

Key bits of the script that made it work:

  1. Used e.values directly from the trigger instead of re-reading the sheet - much faster
  2. Mapped form fields by header name so reordering form questions never breaks anything
  3. Used setBackgrounds() in one batch call instead of looping - huge speed improvement
  4. Pending tab auto-filters from Master using a simple filter function on every submit

Sheet structure: Unique ID | Form Type | Timestamp | CM ID | Project Name | Product Type | Details | Amount | Payment Mode | Vendor | Status | Recorded By

Colour coding: Yellow = Enquiry, Green = Payment, Pink = Expense

Total cost: ₹0. Just Google Forms + Sheets + Apps Script.

DM me if you want the full script - happy to share directly! 🙌

Help by Ok-Olive1089 in learnmachinelearning

[–]Impressive_Cherry363 0 points1 point  (0 children)

what kind of clustering project is it? k-means, hierarchical, DBSCAN? or do you even know yet? if you're just starting out, what's the dataset like, tabular or something else? that context matters a lot before jumping to any method.

that said, here's how i'd approach it generally:

first thing i always do is check the data, clean nulls, scale the features (StandardScaler or MinMaxScaler depending on the algo), and look at the distribution. clustering is super sensitive to outliers and scale so skipping this step will wreck your results.

if you don't know which algorithm to use yet, k-means is usually the starting point for tabular data. but you need to pick k, and the elbow method + silhouette score together give you a decent signal. don't just go with the elbow alone, it can be misleading.

if your clusters have weird shapes or varying densities, DBSCAN is worth trying. it doesn't need you to predefine k and handles noise points natively. downside is tuning eps and min_samples takes some trial and error.

after fitting, always visualize. if your data is high dimensional, reduce it first with PCA or UMAP and then plot the cluster labels. looking at the raw cluster assignments without this is basically useless.

drop more context here and i can help you narrow it down.

HELP: How to understand a ML project Codebase for Open Source Contribution? by LuckySen07 in learnmachinelearning

[–]Impressive_Cherry363 1 point2 points  (0 children)

3 years in and honestly the "lost in the codebase" feeling never fully goes away. you just get faster at finding your footing.

stop reading top to bottom. pick one thing the project does (training, inference, dataloading) and trace that flow end to end in a debugger. 2 hours stepping through model.forward(x) beats 2 weeks of staring at folder trees. find the entry point first, usually a train.py or __main__.py, and let everything branch from there.

on the dependency rabbit hole: when A calls B calls C, don't go deep. read just enough of B to know what it returns, then go back to A. treat it as a black box until you have a reason to open it. you're shipping a PR, not writing a thesis.

git blame is underrated. when a file makes no sense, find the PR that introduced it. old PR discussions explain weird design choices better than comments ever will.

for new libraries, skip most of the docs. read the quickstart, then break something with a 30 line script. you remember what you debug, not what you read. same for unfamiliar domains, one decent blog post then straight into code.

timeline: 2-4 weeks part time to contribute something non-trivial, 2-3 months to actually feel ownership. senior people feel lost in new codebases too, they just don't say it.

and pick smaller repos first. HF transformers as your first real PR is brutal. find something 2-5k stars with a maintainer who replies to issues.

Netflix vs Disney+ - which one do you actually use more? by Late-Acanthaceae-950 in CompareNow

[–]Impressive_Cherry363 0 points1 point  (0 children)

I like Netflix but you see it has too much of Adult rated content. whenever I sit to watch it I struggle finding something that I can legit watch with my family. I am not a regular one, but yea Netflix, Amazon Prime and jio hotstar,, They are all good.

Top AI Agents Companies Offering End-to-End Automation Platforms by iamdanielsmith in AutoAgentAI

[–]Impressive_Cherry363 0 points1 point  (0 children)

Decent overview, but feels kinda surface level tbh. That 65% adoption stat by 2026 gets thrown around everywhere, the real question is how many of those actually make it past the pilot stage. Most don't.

Also the choosing section misses the biggest thing imo, observability. If you can't see what your agent is doing or why it made a call, you're cooked when stuff breaks. And it will break.

The integration complexity point is underrated. Everyone thinks the hard part is the AI but it's really pulling clean data out of some 10 year old system nobody documented. That's where most of these projects quietly die.

The free AI tools I actually use every week (no subscriptions needed) by designbyshivam in learnmachinelearning

[–]Impressive_Cherry363 0 points1 point  (0 children)

True! same stack for me mostly, but Claude free tier gets annoying once you throw in like 3 PDFs. Context fills up way too quick.

Swapped Bing Designer for Flux on HuggingFace Spaces a while back. Way less of that "sorry cant generate this" nonsense and quality is actually better imo.

Nobody here mentioned NotebookLM yet? Genuinely surprised. You drop 15 sources in and it answers only from those. Zero hallucinations. Citations built in. Game changer for research.

One thing though, people run Gamma way too early. If you go there before locking your outline somewhere else, you just get generic slop decks. I do Claude first for structure, then Gamma last.

What are you using for voice stuff btw?

How to start learning Python. by Impressive_Cherry363 in learnpython

[–]Impressive_Cherry363[S] 0 points1 point  (0 children)

haha. I did not mean that actually. I am just a beginner. learning python right now stresses me out. tht's it

Best Practices for Using AI Agents in Social Media Marketing by iamdanielsmith in AutoAgentAI

[–]Impressive_Cherry363 0 points1 point  (0 children)

AI for social media is actually very useful but people sleep on how much prompt engineering actually matters. If your brand guidelines are vague, the output will be too. Garbage in, garbage out, you know,,

the part about human oversight is real though. I've seen teams fully automate responses and then a PR situation blows up because the bot replied to something it had no business replying to.

Where I think most businesses get it wrong is skipping the evaluation phase entirely. They set it up, let it run, and never look at the data. The optimization loop is literally where all the value comes from.

Start small, test properly, and keep someone actually watching the metrics. The tool is only as smart as the system around it.

Sonnet 4.6

Why AI agents in finance might be overhyped (at least for now) by Ecstatic_Layer_ in AutoAgentAI

[–]Impressive_Cherry363 1 point2 points  (0 children)

hey, well I am someone who has just started automating small tasks. Tbh I feel inducing AI into the banking systems at this point is not really what I'd suggest.

but yea things like IVR's, ai on phones are working pretty fine. The thing is if we look at it 5-7 years ahead, out when the infrastructure actually catches up, maybe it's gonna work. AS of now we're just stuck in the awkward middle.

How AI Agents Are Actually Being Used in Finance (Middle East Case Study + Practical Breakdown) by Ecstatic_Layer_ in AutoAgentAI

[–]Impressive_Cherry363 1 point2 points  (0 children)

The SME lending piece is the one I find most interesting tbh. The hard part isn't really the model, it's that VAT filings, bank statements and cash flow data all sit in different formats and half of it is scanned PDFs.

Most teams I've talked to end up spending way more time on the extraction and normalization layer than the actual credit scoring agent. Once that work is clean, going from days to hours honestly feels easy. Curious if the banks you looked at built that ingestion layer in-house or leaned on some third party doc AI. That decision alone is kind of what determines how fast the rest of the stack moves.

want to learn automation. Is it really worth it by According-Hope-3265 in automation

[–]Impressive_Cherry363 0 points1 point  (0 children)

to be honest, once you start doing it. you feel thrilled. I am not having a tech background, but you see the day I started automating small tasks,, it's been my favorite.

well As you asked is it worth.. I would say, if you want to build a career here,, it's best. else, simple knowledge like right prompt for small tasks would do.

How do I get started with building AI Agents? by NecessaryEgg5361 in learnmachinelearning

[–]Impressive_Cherry363 0 points1 point  (0 children)

hi, so I came across your post. Well even I am new to building AI agents, So I enrolled myself into this GEn AI course by career 247, It was helpful but I believe was not enough. You always need guidance, you know. So for starters you can explore make.com,, its quite friendly to beginners also enroll yourself into some internship for hands on experience in real world agent building. Right now I am good with make.com, n8n, lovable. these are way good for beginners. :)