do you think we always need to apply machine learning to every problem we are trying to solve using data or can we fully optimize the value of a data set without applying machine learning? if so, can you give a real life experience, if any?
No I don't! I think today, ML is being used a crutch to solve major problems when simple solutions are much more effective. For example, if you talk about leveraging ML to create better educational outcomes but you don't have enough schools or even electricity to run these systems, there is obviously a mismatch in priorities.
At the end of each month, we give out cash prizes to 5 people with the best insights in the past month
as well as coupon points to 15 people who didn't make the top 5, but shared high-quality content.
The winners are NOT picked from the leaderboards/rankings, we choose winners based on the quality, originality
and insightfulness of their content.
Here are a few other things to know
1
Quality over Quantity — You stand a higher chance of winning by publishing a few really good insights across the entire month,
rather than a lot of low-quality, spammy posts.
2
Share original, authentic, and engaging content that clearly reflects your voice, thoughts, and opinions.
3
Avoid using AI to generate content—use it instead to correct grammar, improve flow, enhance structure, and boost clarity.
4
Explore audio content—high-quality audio insights can significantly boost your chances of standing out.
5
Use eye-catching cover images—if your content doesn't attract attention, it's less likely to be read or engaged with.
6
Share your content in your social circles to build engagement around it.
Contributor Rankings
The Contributor Rankings shows the Top 20 Contributors on TwoCents a monthly and all-time basis.
The all-time ranking is based on the Contributor Score, which is a measure of all the engagement and exposure a contributor's content receives.
The monthly score sums the score on all your insights in the past 30 days. The monthly and all-time scores are calcuated DIFFERENTLY.
This page also shows the top engagers on TwoCents — these are community members that have engaged the most with other user's content.
Contributor Score
Here is a list of metrics that are used to calcuate your contributor score, arranged from
the metric with the highest weighting, to the one with the lowest weighting.
4
Comments (excluding replies)
5
Upvotes
6
Views
1
Number of insights published
2
Subscriptions received
3
Tips received
Below is a list of badges on TwoCents and their designations.
Comments