Read on realworldml.net Today I will share 4 tips to help you solve ML problems in the real world, that I have learned the hard way while working as a freelance ML engineer at Toptal. The gap between machine learning courses and practice Completing many online courses on ML seems like a safe path to learning. You follow along with the course code on Convolutional Nets, you implement yourself, and voila! You become an expert in Computer Vision!
Wow! Thanks for the proper breakdown. Things are much clearer now!
Excellent!
In my experience, ML projects are easy once you know
-> the problem you want to solve, and
-> the data you have in hand.
If you are not clear about these 2, any ML project can become a real mess.
Thank you, Pau! This helped me think things through and learn a lot!
That was the whole point of this article. Step back a bit and don't miss the forest for the trees.