🟠 10 things I wish I knew before trying to use machine learning

things everyone in the AI industry expects you to know

Hey, my name is Eva, and I'm going to tell you how my life drastically changed for the better, thanks to the Mlearning.ai internship. I feel like I owe all my ML understanding to Mlearning.ai because they found me and gave me a great opportunity that I never even thought existed, but here goes:

Data scientists are hired for their problem-solving creativity, not just the ability to use ML. Unfortunately, the university's performance as a teacher of machine learning is terrible. Out-of-date information, and they focus on the least important aspects.

TL;DR:

1. ML cannot exist without context

2. Evaluate the model, then create it

3. You're doing it wrong if you don't use the chain rule when doing backpropagation.

4. LSTMs are not a silver bullet. Nobody cares if you apply an LSTM to a task that…