Hello everyone!! 🌟
I've only been publishing about Machine Learning and Artificial Intelligence for the past two months, and I've noticed a progre...
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I think you shouldn't worry about what "the audience" likes.
If you do that, you'll be competing with the most people to talk about topics that have been done to death.
If you post about things you're interested in, then even if fewer people give you Internet Points, the ones who like it probably get a lot more out of it!
And you'll be making the site better by broadening its scope.
I know, but when I see a less educative blog receiving so much attention, I get discouraged.
There is an ongoing discussion about seemingly successful spam posters who are also quite successful in getting blocked by senior developers. So there is not "the" one audience, it's like a conference where a lot of different people attend, and not everyone is interested in the same topics.
Oh, I love this description!
Write what you care about. Then in 6 months, 12 months and 18 months time you'll still be writing. Plus, you'll get known in your "area" vs. being "all over the place". Your audience will grow. It takes time. Ignore the content that doesn't resonate, it's a big internet out there!
I'm doing a Linguistics degree on the side and am seriously considering a final research project where I criticise the communicative ability of papers. It's shocking how bad they are, given the constraints and purpose put on them.
Since I started reading your blogs, I have found this to be really beneficial.
My favourite blog post is the one about your machine learning project creation using scikit-learn.
I believe that rather than writing a generic post about any subject, you ought to approach this subject as a project. When individuals view a project, they genuinely believe that they will learn something from it or, if they created it using that blog, that they would include it on their resume.
I hope this suggestion will help you !!
Keep doing the good work and don't get disheartened
As a data scientist, I may be biased, but I'm sure that whatever you post on those topics (ML, etc), I'm gonna enjoy it.
Maybe more ML example projects using
Python, scikitlearn and so on? Perhaps something not widely known such as the post on Deepchecks?
Also, maybe more focus on 'Exploratory Data Analysis'. I've seen people skipping that step and dooming a whole ML project because of it. :p
Hope that helps.
So, true.
When I see a worst blog getting much attention and some too good blog is just not that much popularised then It hurts me.
Still I love to support you because I love your content.