The title says it all—this isn’t another theoretical deep dive into neural networks and backpropagation. Instead, it’s about understanding AI from a practical perspective that matters for students entering the workforce in 2024.
Why “But Not Really”?
Most students think they need to understand every mathematical detail of neural networks to work in AI. That’s like thinking you need to understand engine thermodynamics to be a good driver. What you actually need is:
- Understanding what problems AI solves (and which ones it doesn’t)
- Knowing when to use existing models vs. building from scratch
- Practical skills: Data preparation, model evaluation, and deployment
- Business context: How AI creates value in real applications
Event Details
Host: KFUPM TechHub
Event: Artificial Intelligence Track
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Resources
Slides: View Presentation
Perfect for students who want to understand AI without getting lost in mathematical complexity.