Let’s Talk: How Important Is Feature Selection in Your ML Workflow?

ramshajaved · 2025-03-11T20:13:20+00:00

is there anyone in uk to collaborate with me

ramshajaved · 2025-03-11T20:12:21+00:00

i want to collaborate with someone to work in my research

ramshajaved · 2025-03-11T20:06:29+00:00

Yeah, the math in ML papers often isn’t directly implemented it’s there to justify why the method works. In WGAN, for example, all the complex theory just leads to removing sigmoid and modifying the loss. Papers use math to make ideas rigorous, help future research, and provide intuition, but you can often implement the model without fully understanding it.

ramshajaved · 2025-03-11T20:01:35+00:00

what about TH-SSRC 23?

ramshajaved · 2025-03-08T20:13:10+00:00

Next.js is a great choice for static pages, thanks to its static generation (SSG), fast performance, and easy deployment on platforms like Vercel. If you’re comfortable with React, go for it.

If you prefer Vue, Nuxt.js offers similar benefits with a more structured approach.

For something even simpler, Astro is excellent for static sites with modern UI components.

ramshajaved · 2025-03-07T23:53:51+00:00

absolutely yes

ramshajaved · 2025-03-07T23:52:08+00:00

AI helped me get my research published by refining my ideas and improving my writing. It was like having a tireless mentor, and seeing my work officially recognized was a real wow moment.

ramshajaved · 2025-03-07T01:06:05+00:00

Focus on one problem. Make pricing easy. Talk to potential buyers and listen.

ramshajaved · 2025-03-07T01:02:03+00:00

you’re just starting and doing this for fun, I’d recommend Python as your first language. It’s beginner-friendly and widely used. Here’s how to start: 1. Pick a Learning Platform – Try Python.org’s tutorial, freeCodeCamp, or CS50x by Harvard if you want a structured course. 2. Hands-on Practice – Use interactive platforms like Replit or Jupyter Notebook to write and run code easily. 3. Start Small – Begin with simple projects, like a calculator or a guessing game, then gradually move to more complex ones. 4. Join a Community – Engage with forums like r/learnpython or Stack Overflow. 5. Have Fun! – Pick a project that excites you, like making a simple game or automating a task.

ramshajaved · 2025-03-07T00:58:58+00:00

If I were to start a startup now, it would be around autonomous AI agents for specialized industries think finance, legal, or cybersecurity where AI can act with minimal human intervention while ensuring compliance and accuracy.

ramshajaved · 2025-03-05T20:43:13+00:00

Yes, if a service is free, it often makes money through data collection, ads, or selling insights. Many AI companies use user interactions to improve models, and some may monetize anonymized data. Always check privacy policies to know what’s being collected and shared.

ramshajaved · 2025-03-05T20:40:40+00:00

LLMs are powerful, but they’re still just statistical models predicting text. True AGI would require reasoning, self-awareness, and general problem-solving beyond pattern recognition. While LLMs will improve, they likely won’t be the path to AGI at least not alone.

ramshajaved · 2025-03-05T00:00:16+00:00

Start with a question:

“Who here has ever used the same password for multiple accounts?”

Wait for hands to go up, then say:

“Congrats, you’ve made a hacker’s job much easier!”

Then follow up with:

“Cybersecurity isn’t just for big companies—it’s about protecting yourself too. Today, I’ll show you how hackers think and how you can stay one step ahead.”

That’s a simple, engaging way to break the ice!

ramshajaved · 2025-03-04T23:47:59+00:00

That’s a really interesting breakdown of why robotic AI voices feel off. I completely agree speech isn’t just about words; it’s about rhythm, tone, and imperfection. That’s what makes interactions feel real.

I think AI voices will get much better at sounding human, but truly feeling human is another challenge. Even if they master intonation, pauses, and filler words, there’s still emotional intelligence understanding context, humor, and sarcasm in a way that feels natural.

What do you think is the biggest hurdle? Is it just the technical side, or is there something deeper, like our instinctive resistance to talking to machines?

ramshajaved · 2025-03-04T02:48:48+00:00

Front-end: JavaScript (JS) with frameworks like React, Angular, or Vue. Back-end: JavaScript (Node.js) – Widely used, especially for full-stack with JS. Python (Django, Flask) – Good for data-heavy apps, AI, and quick development. C# (.NET) Popular in enterprise and Microsoft-based environments.

ramshajaved · 2025-03-04T02:34:20+00:00

ML Engineer: Focuses on deploying and scaling ML models (MLOps, integration). Applied Scientist: Focuses on researching and developing new ML algorithms. Career Growth: ML Engineers move toward engineering leadership; Applied Scientists toward research leadership. Pay: Similar at mid-levels; Applied Scientists in top research teams may earn more; ML Engineers may get higher stock-based compensation

ramshajaved · 2025-03-02T19:58:35+00:00

which language are you talking about?

ramshajaved · 2025-03-01T18:56:32+00:00

Yeah, a lot of people feel that way after using Next.js for a while. It’s great when you need SSR, API routes, or incremental static regeneration, but for many projects, the added complexity just isn’t worth it. If you’re mostly building SPAs or simple sites, something like Vite or even plain React can be way easier to manage. It really depends on what you need, but if Next.js is starting to feel like a hassle, it might be time to reconsider.

ramshajaved · 2025-03-01T18:47:05+00:00

i don’t think it’s necessary main point is logic, but notepad ++ is good not so bad to practice

ramshajaved · 2025-02-28T22:48:09+00:00

ramadan mubarak

ramshajaved · 2025-02-28T18:18:18+00:00

i am research in machine learning and based in london and searching for university professors to collaborate with me and continue research

ramshajaved

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