It’s pretty clear that Google searches are a key way people find businesses. 35% of referral traffic comes from search, versus 26% from social, a difference that appears to be growing. And much of this traffic comes from local search, there’s been an explosion in the number of “near me” searches according to Google. Responding […]
Visualizing business categories across Facebook, Yelp and Google
In the process of building business profiles on social media platforms, choosing the right businesses categories plays critical role as it helps potential customers find the business right away. However, the task is sometimes challenging and time consuming, especially when there are multiple platforms with their own list of categories. Further complicating things are the […]
Talks on probabilistic modelling from tech @ ThriveHive
In the past month or so we’ve been giving talks and workshops on one of our projects to predict customer spend on different digital marketing services. Briefly, the project aimed to use what’s called a “probabilistic model” to output a realistic spend range for a given customer in a certain region, certain industry and for […]
Interpreting machine learning models: Picking low-hanging business insights, Part 3: Getting results
In the previous blog posts we talked about interpretability in machine learning and how to set up your machine learning question. We also discussed a bit about the application to ThriveHive’s data. Now we get to the good part: Running our model and examining our results. NOTE: The results below are simulated data, which means […]
Interpreting machine learning models: Picking low-hanging business insights, Part 2: Asking questions
Interpreting machine learning models: Picking low-hanging business insights Part 2: Asking questions In the previous blog post we examined the importance of interpretability in machine learning models and how to interpret the parameters that are estimated by a class of machine learning models called “regression models”. Now that we have the background set up, let’s […]