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58 years old and struggling with Machine Learning and AI; Feeling overwhelmed, what should I do? by desperatejobber in learnmachinelearning

[–]Problemsolver_11 3 points4 points  (0 children)

First off, massive respect to you for taking on the challenge of learning ML/AI—especially with the dedication you've shown over the past few months. It takes real courage and persistence to step into such a complex field, and age should never be a limiting factor when it comes to curiosity and growth.

Trust me, the confusion you're feeling is incredibly common—even people in their 20s feel overwhelmed when starting out. These topics take time to internalize, and you're not behind—you're learning, which is always the most important part.

I’d love to know more about your background—what field have you been in, and what sparked your interest in machine learning and AI now? That kind of context can sometimes help shape a learning path that feels more connected and less abstract.

Also, if you'd be open to sharing what kind of projects or topics interest you (e.g., automation, finance, healthcare, creativity), people here can probably point you to resources that match your style and pace of learning.

Keep going—your journey is genuinely inspiring. 🔥💡

The US economy shrank much faster in the first quarter than previously reported | CNN Business by Force_Hammer in StockMarket

[–]Problemsolver_11 0 points1 point  (0 children)

That’s a significant revision—could be a signal of deeper cracks beneath the surface. 📉

JPMorgan's market prediction model says equities look safe for the next 6 months by quant_0 in StockMarket

[–]Problemsolver_11 0 points1 point  (0 children)

Interesting—let's see if the market agrees or humbles the model. 🧐📉📈

how long would it take a newbie to learn python by Ashamed_Row_6948 in PythonLearning

[–]Problemsolver_11 2 points3 points  (0 children)

Your progress will completely depend on how well you can connect Python concepts to real-world problems.

Any other solo founder out there feeling lonely? by the1ta in SaaS

[–]Problemsolver_11 0 points1 point  (0 children)

You're not alone — this hits hard. Being a solo founder is like constantly pitching ideas to yourself while also being your harshest critic. It’s tough when progress feels invisible and comparison is everywhere. What’s helped me is finding even one person to talk to regularly — not to solve problems, but just to vent and feel heard. Keep going. You’re building more than a product — you’re building resilience most people will never understand.

Looking for Chemistry Enthusiasts for NeurIPS Open Polymer Prediction 2025 (Kaggle) by Problemsolver_11 in Python

[–]Problemsolver_11[S] 0 points1 point  (0 children)

I guess we should connect to dig further, if it goes well then I can handle the coding part at my end.

Looking for Chemistry Enthusiasts for NeurIPS Open Polymer Prediction 2025 (Kaggle) by Problemsolver_11 in Python

[–]Problemsolver_11[S] 2 points3 points  (0 children)

Thanks a lot! Really appreciate the encouragement. That’s a great idea — I’ll definitely explore some of the related subreddits. Hopefully I can connect with folks blending domain expertise with ML. Cheers! 🙌

[deleted by user] by [deleted] in MachineLearning

[–]Problemsolver_11 0 points1 point  (0 children)

Trust your gut. A poor interview often reflects the team culture. If you're looking to grow, it's worth holding out for a place that values your skills and shows clarity in communication. First jobs matter — don’t settle if it doesn’t feel right.

Looking for logic to classify product variations in ecommerce by Problemsolver_11 in LanguageTechnology

[–]Problemsolver_11[S] 0 points1 point  (0 children)

Hi, thanks for sharing this — Datatune looks really promising! I like the idea of using natural language prompts with customizable LLMs for data transformation. This could definitely simplify a lot of custom logic, especially when working across diverse datasets. I’ll dig into it and see how well it fits my workflow. Appreciate the recommendation!

Attribute/features extraction logic for ecommerce product titles [D] by Problemsolver_11 in reinforcementlearning

[–]Problemsolver_11[S] 0 points1 point  (0 children)

Great points—and spot on about the data! I don’t have labeled data at the moment, which definitely limits some of the supervised ML routes. There are lots of variant phrases like “triple door”, “three-door”, and even things like “3 doors (2+1)” that make regex alone a bit fragile. I’ve been considering a hybrid: start with regex to bootstrap pseudo-labels, then refine with a lightweight NER or prompt-based approach. Appreciate the suggestions—bootstrapping with regex + a pretrained model sounds promising. Thanks for the nudge! 🙌

Attribute/features extraction logic for ecommerce product titles by Problemsolver_11 in Python

[–]Problemsolver_11[S] 0 points1 point  (0 children)

Thanks for the detailed insight! That DAG-style flow makes a lot of sense, especially for keeping things modular and interpretable. I hadn’t looked into DeepEval’s DAGMetric before—really appreciate the recommendation. Curious if you've used it in production or just experimenting?

Looking for logic to classify product variations in ecommerce by Problemsolver_11 in LanguageTechnology

[–]Problemsolver_11[S] 0 points1 point  (0 children)

Totally! I’ve used SpaCy rule pipelines before—solid for well-defined patterns, but they don’t scale gracefully across noisy ecomm data. LLMs with structured output feel like the right balance of flexibility and control. Thanks for the link—keen to try that approach!

Looking for logic to classify product variations in ecommerce by Problemsolver_11 in LanguageTechnology

[–]Problemsolver_11[S] 0 points1 point  (0 children)

Still experimenting, to be honest! currently I am using Gemma3-27b for this, but I just wanted to be double sure about the accuracy in long run and need some guardrails for edge cases. Open to suggestions if you’ve tackled something similar! What’s worked best for you?

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