If you're a professional working on covid-19 using open source software (OSS), the community has your back - hit up the new OSS help-desk at https://t.co/yFrXQbADH1 and let us know what you need!
Data scientists: please come and help answer questions. :)
It's the start of a new decade, and a new era in #AI and #machinelearning. Don't let the challenges of last decade plague you in 2020. Download this @451Research report on overcoming obstacles to #ML adoption: https://t.co/6o1NPXJYHf
This wave of AI hype will have dire consequences. Not just for our field. For public safety.
Overselling the progress & capabilities of AI leads govts & companies to adopt shoddy "AI" solutions (which contractors are more than happy to sell). And blindly trust their predictions.
A new post is out! Logistic Regression from Bayes' Theorem: https://t.co/I2V3RRDAti
First part in a series looking at the details of logistic regression, in this post we'll see how you can derive logistic regression starting from Bayes' Theorem.
Happy 7th Birthday to us! Here’s to another year of harnessing #datascience & #AI in the service of humanity. This wouldn’t be possible without our global community of tenacious techies, humble humanitarians, future-looking funders, & wide-ranging experts. THANK YOU!🧡#Data4Good
"Uno no acepta un discurso porque sabe que es verdadero; uno piensa que algo es verdadero porque cree en eso. (...) Pareciera que está planteada al revés la cuestión. Si uno cree que un discurso es verdadero, lo aceptará como verdadero" #ricardopiglia#teoríadelaprosa
Ayuntamiento de Madrid: Madrid Central. Por la continuidad del proyecto. No a la reversión - ¡Firma la petición! https://t.co/2J0hEaspdM vía @change_es
Esclavos - Opinión #MujeresaSeguir
"Los repartidores están controlados por unas 'app' siniestras, que al parecer no sólo marcan la ruta por la que deben ir, sino también en qué orden han de entregarse los paquetes". Por @ElviraNavarro https://t.co/eFiTKG04bD
Hoy escribo en @MujeresaSeguir sobre una mujer a la que admiro: la cajera del súper que hay al lado de mi casa, quien me enseña que hay que ser grande y espléndida, especialmente cuando las circunstancias son pequeñas https://t.co/yok67AAsoG
Growing as a programmer is to a large extent the accumulation of scars in your mind, which burn with each new line of code proportional to the expected pain inflicted on your future self over all possible refactoring.
Real problems in real problems in the industry. “3 facts about time series forecasting that surprise experienced machine learning practitioners.” by Skander Hannachi, Ph.D https://t.co/onmgLmE5VH