How does one approach towards machine learning?[D]
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A Reddit user expressed confusion about how to approach machine learning, noting that the community seems focused on building RAG modules and agentic AI for corporations. They are passionate about machine learning but find it unclear what knowledge truly matters in the field today. The user is seeking advice on specific topics, technologies, and tools that are considered valuable for learning in this domain.
I honestly am so confused rn as the ml community is overburst with people only caring about building rag modules and agentic ai for larger corporations.
I have a passion for machine learning but honestly it feels really confusing as to what really counts today. I would love some advice on what exact learning counts in this field like what exact topics, tech and tools?