Hello there,
I usually get requested about my transition from engineering to knowledge science. Having made the leap, I’ve realized what works (and what doesn’t) and I believed it might be of worth to share my perception to hopefully prevent a number of time.
I’ve a Grasp’s diploma in Engineering (Materials Science) and an Engineering Doctorate. I’m self-taught in knowledge science and have been training it for five years. Whether or not you’re seeking to:
- Transition into a knowledge position
- Leverage knowledge science data on your engineering work
- Or be taught these abilities out of curiosity
…this information is for you. It’s based mostly on my journey and can assist you to navigate your transition into the world of AI and knowledge science with confidence.
Engineers have all of the instruments to be nice machine studying practitioners. They’re drawback solvers, and so they are usually sensible. They will lower by the noise and leverage what already works to construct an answer to an issue. With out getting slowed down making an attempt to code a brand new neural community from scratch.
