How to deliver on Machine Learning projects
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How to deliver on Machine Learning projects
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Re: How to deliver on Machine Learning projects
#2this doesn’t seem to offers any novel perspectives. I read it as intended for self marketing.
Re: How to deliver on Machine Learning projects
#3this doesn’t seem to offers any novel perspectives. I read it as intended for self marketing.
Isn't that the goal of every company their Medium Blog :')
That doesn't mean it's bad.
Re: How to deliver on Machine Learning projects
#4this doesn’t seem to offers any novel perspectives. I read it as intended for self marketing.
Novel per se means nothing, for business the more the standards the better. In ML/DL for b2b we badly need unified best practices and, above all, sensitivity (ablation) protocols to demonstrate our models are neither overfitting nor cherrypicking.
Re: How to deliver on Machine Learning projects
#5So we had this idea of a new feature for our product. The only way to quickly do it was to somehow implement a machine learning algo and that would give us the result that we wanted. Viola!! It seemed simple.
Now our company doesn't have any machine learning expert or a data science genius. Going for hiring one would take time. Taking someone up on contract would be very expensive (our CEO wasn't ready to shell out that kinda money). So the task fell on me. They asked me to go through the multitudes of Machine leaning MOOCs out there and get a working prototype ready in 2 weeks.
I had already done Andrew Ng's course back when it came out for the first time. But my memory had faded for the lack of practice.
I re-ran the course again. I went over a couple of online ML books too.
Then I started thinking of the problem at hand. Unfortunately, it turned out to be a chicken and egg problem. For the feature to work perfectly we needed a large amount of training data to train our models. But without the feature actually deployed, we didn't have any way to collect any training data.
So we ultimately fell back to simple algo, that took it's decisions based on a few hard coded rules. Things have been working fine till now.
Re: How to deliver on Machine Learning projects
#6That sounds awfully close to DMAIC.
https://en.wikipedia.org/wiki/DMAIC
Nothing wrong with that though...
Re: How to deliver on Machine Learning projects
#7this doesn’t seem to offers any novel perspectives. I read it as intended for self marketing.
Platitudes on platitudes. "Be efficient." "Do it right."
Re: How to deliver on Machine Learning projects
#8So we had this idea of a new feature for our product. The only way to quickly do it was to somehow implement a machine learning algo and that would give us the result that we wanted. Viola!! It seemed simple. Now our company doesn't have any machine learning expert or a data science genius. Going for hiring one would take time. Taking someone up on contract would be very expensive (our CEO wasn't ready to shell out t…
They gave you two weeks to become a data scientist and implement a working solution? That's nuts. I'm still pretty early career, but I have done data science work for about four years now and I wouldve quoted at least two months to figure out data, clean it, feature engineer, run models, compare results, and then deliver the best performing solution.
Re: How to deliver on Machine Learning projects
#9So we had this idea of a new feature for our product. The only way to quickly do it was to somehow implement a machine learning algo and that would give us the result that we wanted. Viola!! It seemed simple. Now our company doesn't have any machine learning expert or a data science genius. Going for hiring one would take time. Taking someone up on contract would be very expensive (our CEO wasn't ready to shell out t…
> The only way to quickly do it was to somehow implement a machine learning algo and that would give us the result that we wanted.
Since no one of you had any experience with ML, how did you know that a ML algo (which one?), implemented "somehow" would give you the results you wanted? (Not a cynical comment; I am really interested in hearing about this).
Re: How to deliver on Machine Learning projects
#10So we had this idea of a new feature for our product. The only way to quickly do it was to somehow implement a machine learning algo and that would give us the result that we wanted. Viola!! It seemed simple. Now our company doesn't have any machine learning expert or a data science genius. Going for hiring one would take time. Taking someone up on contract would be very expensive (our CEO wasn't ready to shell out t…
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