Marçal Serrate

we've got a 1M context window open-source llm from a shanghai lab out in the wild and you're still stuck with your rag pipeline? @intern_lm

Check out the current state of #attribution proposals and how Hybrid Theory measures #marketing effectiveness without leveraging inconsistent models such as "last-click attribution"

Glad you like it @chrisbond63!

I really hope that while moving away from 3P cookies we are able to measure what it really matters & not just the last click activity. Otherwise we will need to rely on techniques such as Marketing Mix Modelling and conversion lift to effectively measure marketing investments

All of them comes with different trade-offs between privacy & utility. Finding the right balance is what makes it difficult to reach consensus. Most of them support last touch attribution only, and as we know, aside from not being accurate it generates incentive problems

Current state of measurement proposals without 3P cookies in #AdTech: 📈Event-Level Reporting: Associate an ad click with conversion data. • Safari (Apple) proposed Private-Click-Measurement • Chrome (Google) has proposed “Event-Level Reports” in their Attribution Reporting API

"Burnout Paradise: buenas prácticas para evitar el burnout en desarrollo", by Alejandro Nicolás (@sander_pm) from Hybrid Theory (@HybridTheory_GL)

Find out what we’re doing at @HybridTheory_GL to support the #cookieless future and one of our tests around #FLoC

#ApacheSpark 3.0 greatly simplifies writing Python user-defined functions through type hints, and makes it easier for your functions to process data efficiently in batches via Pandas and Apache Arrow. Check out how to use them: databricks.com/blog/2020/05/2…

Great piece of work from our analytics team!

We are very excited to announce that we have open-sourced Metaflow, our human-friendly Python library for Data Science! We worked together with @awscloud to ensure that the open-source release is easily usable outside @Netflix. Learn more at metaflow.org

Can you solve it?

@Marc_Rubino @Typs_es Sort Marc!!

Ahora si que se puede decir !! CTO & Co-Founder en @Typs_es | El adelanto de nómina en un clic. typs.com

All these datasets have the same statistical properties. Including the dinosaur. A reminder to be careful with means, variances and correlations - they can be deceptive.

#TensorFlow Probability looks really promising for bayesian inference tensorflow.org/probability

Remember: Every time you misidentify a traffic light in a Captcha, a self-driving car hits a pedestrian

Retail forecasting example: exxeta.github.io/2018/10/foreca…

TIL how you partition your data REALLY matters: boost in performance in production job (from 4 hours to 1, yeah!) via @mserrate

Speed up data processing by querying data before parsing it with Sparser, a new technique from the DAWN group at Stanford: dawn.cs.stanford.edu/2018/08/07/spa…