Los algoritmos de machine learning cometen errores en sus predicciones. Los humanos cometemos errores al interpretar mal lo que significa 'predicción'. Y algunos algoritmos están diseñados para facilitar las malas interpretaciones. ¿Como lo arreglamos? 👇https://t.co/LGbEEzxIMS
¿Estudias 3º-4ºESO o Bachillerato y te gusta resolver problemas con herramientas matemáticas? ¿Eres docente y a tus estudiantes les interesa la modelización?
Ya está abierta la fase española del International Mathematical Modeling Challenge (IM²C) https://t.co/y6OFp4WlWn
It took a while but I finally wrote what I learned about the fundamentals of text-to-image generation. We'll discuss:
• Basic diffusion
• Text conditioning
• Classifier(-free) guidance
• Moving from pixel to latent space
Feedback welcome!
https://t.co/65jAjuoM7c
How a book written in 1910 could teach you calculus better than several books of today
[Calculus Made Easy, by Silvanus P. Thompson, 1910 - full text pdf: https://t.co/W4gspJGhHK or with the table of contents: https://t.co/55dkZzX4XV]
*Fabulous* question: How come smart assistants have virtually no ability to converse, despite all the spectacular progress with large language models?
Thread (and substack essay), inspired by a reader question from @___merc___
When I moved from machine learning research to BBVA, I learned that Data Science is about being practical and delivering. Finding space for innovation in DS has been my main job for the last ~4 years. Very thankful for this recognition of our X-Program! Proud of @BBVA_AIFactory
Pot tenir una tesi doctoral amb un alt contingut de recerca puntera impacte immediat en el nostre entorn industrial? Aquí en teniu la prova. @dindustrialscat@AxelBrando_@qupixel
Today, I am glad to announce that I will be defending my Industrial PhD Dissertation entitled as "Aleatoric Uncertainty Modelling in Regression Problems using Deep Learning"
⏰ Today at 11:00 (Barcelona time), hybrid format.
For more info check https://t.co/Ls6WNoW6VD
🧵👇
We (@gauthier_gidel@velythyl@busycalibrating@vernadec & myself) would like to announce the accepted blog posts to @iclr_conf's 1st Blogpost Track. Experiment was a great success with 20 accepted posts out of 61 submissions, roughly the size of the 1st @iclr_conf itself! 1/24
@katakeith A good combination I like for teaching to students starting in data science and in python is the Python Data Science Handbook by Jake Vanderplas, preceded by "A whirlwind tour of python" by the same author. https://t.co/zs2YmvKT7q
New blog post!⬆️ Deep Neural Nets: 33 years ago and 33 years from now https://t.co/pbZvYh3Mck we reproduce what I think may be the earliest real-world application of a neural net trained end-to-end with backprop (LeCun et al. 1989), try improve it with time travel, and reflect.
The post is a conversation featuring our opinions with regards to the practice of rapid prototyping in data science teams. A topic we're both very active in...
During the time we worked together, I learned from @fabiengirardin that writing can be a useful tool (to organize ideas, to consolidate learnings), and have always admired his writings. Today we co-authored a post and it feels like an enormous privilege! https://t.co/65kTnjLOrl
I just published Prototyping in Data Science. A conversation with @qupixel from @BBVA_AIFactory on how data scientists can think ahead of the curve https://t.co/9u46NQgBoj
El jueves que viene (24/2) hablaremos de la realidad de los proyectos de datos con @cris_aranda_@adsuara y @fmaturanac en BBVA Open Talks @BBVAInnovation @bbva @BBVA_AIFactory Inscripciones aquí: https://t.co/TCBydXN4JB
"GPT-3 might be well-suited when it comes to generating the pool of joke angles. But to consistently rank in the top 100, you likely need a human to perfect the writing" https://t.co/kTgr8UYLAn