#SundayMorningThoughts

I have had a depressing day as we did a round of interviews for our machine learning positions
It was incredibly sad to talk to people who spent lakhs on ML courses to learn algos..and finally be shown AutoML https://cloud.google.com/automl 

The second thing that shocks them is the pricing of Cloud Vision for face recognition - $1 for 1000 images. Or GPT3 - about 30k INR per month. About an intern's salary.
@DataRobot costs less than a fresher data scientist for a year.

Companies will follow the money.

In this world *today*, where is the career ? Where is the money?
https://developers.google.com/machine-learning/rules-of-ml/

"Even with all the resources of a great machine learning expert, most of the gains come from great features, not great algorithms"

P.S. AutoML does features too :(

One answer: business lifecycle.
It is not important what algo u choose to go live. What happens after that ?
Uber's ML projects under the Michaelangelo umbrella are the formalized philosophy around this.

Palette (feature engg + store) & Gallery (model mgmt).

Buzzwords: CRISP-DM

My prediction (no pun intended) is - data scientists will become closer to product managers.
They will own the onus of "conversion" & the "algorithms" ?
Justify ROI on cost of training ? P.S. GPT3 costs 5 mil USD to train.

And their salary scales with profit/conversion upside

Are you an ML scientist who can think business?
Build a career...stop paying for overpriced ML courses.