- Is it your CV (your portfolio to the outside world) ?
- Did you stumble/are stumbling across something that you didn't find many answers to ?
- Did you find a better path than the beaten one?
I've not found any of the above reasons, hence I've not blogged. Maybe I'm wrong.
But what this series will offer when compared with other sources is my personal take on how I applied the techniques I learned in a real-world e-commerce business and how that drove innovation.
I also struggled when learning some of the lessons I'll share, because of how the information was spread, in this series of posts I'll try to put it together in a way that would have helped back them.
...this has had the consequence of getting no pageviews since it removes the mystique of data science. :\
It's super interesting, BECAUSE it's the first time I'm seeing those stats in the form of a 'heatmap'.
You're optimising for quality. And I just happen to think that's right.
Cookie cutter data intro's that walk you through installing anaconda....& and end up with some plt.plot(x,y) might gather some views. But they don't add anything to the ambient noise in the room.
They only encourage the (I'm assuming beginner) blogger to publicise their future work, as they've now experienced 'blogging'.
That's the only good outcome I see.
Perhaps I'm wrong.
Ideally I'd optimize for a weighted average between the two, but it's tricky without playing a bit dirty.