Deep Learning (but not really)
A pragmatic introduction to AI for university students — practical applications over theoretical complexity.
A talk for the AI track at KFUPM TechHub, aimed at students about to enter the workforce.
The argument: most students believe they need every mathematical detail of backpropagation before they can work in AI. They don’t. What separates people who ship from people who stall is knowing which problems AI actually solves, when to reach for an existing model instead of training one, and how to evaluate and deploy the result.
تعرّف على متحدثين مسار الذكاء الاصطناعي 🎤 https://t.co/0aXQO5pa7y pic.twitter.com/j3ejuapXUe
— TechHub (@TechHub_ela) April 25, 2024
Mazen Alotaibi (@ma7dev)