How to use Google Bard in BigQuery (quickstart)
Google just announced you can use Bard in BigQuery to do Generative AI at scale. That means you can run your queries right inside of your data warehouse, where your data lives.
· Seamus AbshereData science
Faraday model reports: Understanding feature importance and directionality
Predictions are complex, and consumer predictions for marketing aren’t an exception. In many cases, you might find yourself given the green or red light to go after a lead, prevent a churn, or approach a customer in another way that’s specific to a business goal your org has.
· Patrick Doherty
Mitigating implicit bias in machine learning
An algorithm contains the biases of its builder. At Faraday, we have a handful of approaches we use to minimize these effects at each level of our machine learning pipeline.
· Faraday
How k-means clustering is used to identify customer personas
Using machine learning to identify customer personas in your data can help improve your understanding of your customer base, and with the right infrastructure, deliver personalized experiences at a greater scale.
· Faraday
How propensity models help predict customer behavior
To get accurate propensity predictions, you need a good propensity model. Here’s how Faraday approaches propensity modeling.
· Faraday
How we made our CSV processing 142x faster
Python-based csvkit chews through it in a respectable-and-now-expected 4m16s. xsv takes 1.8 seconds. I don't even have time for a sip of my coffee.
· Faraday
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