Mis alumnos del curso de Inferencia Causal y Machine Learning en la PUCP 😅😅😅😅

Necesario leerlo para estar informados!

How important is to understand the intersection of Machine Learning and Causal Inference! 🤓

If you want to know more about the economic history of Peru you should *read* this book by Professor Carlos Contreras!

current status

Description of my life😅😅😅

A toda la gente de Perú, no dejen pasar esta oportunidad! Sorbetodo si planean seguir estudios en el extranjero! 🤓🤓🤓

For everyone interested in Structural Causal Models!

Tremendo hilo sobre libros en ML!!!

The StoreyTelling with DATA PROCESS!!!!!🤓🤓🤓

R, Python, Julia or Matlab? Maybe the first three? "So within the same source file, one could use Python for data handling, R for plotting and Julia for fast computations. We have done so in several applications, and it works quite well." cepr.org/voxeu/columns/…

#EconTwitter for those interested in sensitivity analysis tools, Rodrigo Grijalba and I have created the Julia version of Sensemakr! Thanks to Análise Real for the comments and feedback. Julia For Data Science JuliaLang en Español @julia #JuliaLang The Julia Language github.com/d2cml-ai/Sense…

Me in DC but without the $5 million, for now

In case it's helpful for current econ PhD students: I've literally never met an economist that felt their consumption in grad school was too high. You're almost certainly below the optimal level of consumption.

Junto con Rodrigo Grijalba hemos creado EconMentor, primer ChatBot potenciado por la inteligencia artificial más avanzada #chatgpt 3.5 + Tesis de Economía de PUCP. EconMentor no sólo responde a tus preguntas, sino que te brinda insights y propuestas #openai #PUCP #llm #Python

MIT's decision to drop the mandatory DEI statement shows leadership. Ditto with requiring standardized tests again. There should be conscious efforts to recruit diverse faculty and students, but the mandatory statement went too far. unherd.com/newsroom/mit-b…

Lectura recontra obligatoria! #JavierHerrera