Is a deep technical understanding of neural networks required outside of...

penguin_pam

To understand the inner workings of neural networks, a fair amount of mathematical concepts is required. Backpropagation alone is a challenging technique if you are not fluent in calculating local gradients. And that's just the start of the journey. But the more I study neural networks, the more I get the impression that all those difficult mathematical concepts are only required if you are doing actual research in neural networks or want to...

Originally asked by Demento on Stack Exchange (ai) (CC BY-SA 3.0).

uphilltech

Great question — answering as the UphillTech team:

It depends on what exactly you want to be. You don't need to be mathematician if you just want to run neural networks. Most data scientists don't understand the mathematics, but they know how to run machine learning frameworks. Generally, only PhDs understand the mathematics. In the industry, most job positions in machine learning (e.g software engineer, big data engineer etc) don't require advanced mathematics. But you should be very comfortable in programming, and understand simple things like matrix manipulation. Data engineers in the industry generally have good programming skills, but they can't read mathematical equations (or just simple equations). However, quantitative positions in...

Full answer by SmallChess: https://ai.stackexchange.com/a/3978 (CC BY-SA 3.0).

Need it done for your business? UphillTech.