#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

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?
developers.google.com/machine-learni…

"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.
You may disagree with me. Sure algorithmic work has value - only in very specific orgs.

Not because those scientists are not smart - You guys are brilliant
But Google has made it useless.

Thought experiment - if u had a company, would you have opensourced Tensorflow or Pytorch?
Recommendation engine? AWS Recommend.
Image recognition - Cloud Vision or Rekognition.
NLP? GPT3
Voice ? Polly/Alexa.
Datarobot, AutoML, H20 Driverless AI cleans up the rest.

U need to start thinking business.

I have a new term for this - I call it "Product-Data Fit"
Here's a *specific* recommendation for you - read up everything on Uber's Michaleangelo components.

Then go play with @TensorFlow Extended (TFX) and/or @MLflow

It's there...that you will have a million dollar career.

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