Ciencia de Datos

[Alex Smola @smolix]

Learn about Recurrent Neural Networks #RNN, Gated Recurrent Units #GRU, Long Short Term Memory #LSTM and truncated backprop. Just in time for the weekend. With code, video and slides as always at https://t.co/4rDsk41jeB #d2l

[Nando de Freitas @NandoDF]

One day people will ask themselves why were there no Africans in all the major AI and tech endeavours? And they will find it hard to imagine the world was so biased and divided. I hope that day comes for my daughters.

[. @CajamarDataLab]

Éstos son los ganadores de la @Cajamar #UniversityHack 2019. Altísimo nivel en la tercera edición de la competición de analítica de datos más grande de España. Toda la info en https://t.co/byu5bd9lZC

[Emilio_Soria @Soria_Emilio]

@CajamarDataLab @Cajamar @MedialabPrado Ganadores de los dos retos estudiantes del máster en ciencia de datos de la @ETSEUV @mcdatosuv Grandes!!

[Nando de Freitas @NandoDF]

Our meta-learning approach is state-of-the-art in Text-2-Speech, and does it in 5mins instead of 4 hours. This shows that neural nets can work with few data, when we embrace many tasks, and work better! Now a poster 😊 https://t.co/5CPunCeiZt

[DataBeers VLC @databeersvlc]

Regala't un curset per Nadal!

[ODSC (Open Data Science Conference) AI @_odsc]

Learn more about applying the TensorFlow framework to recommender systems, starting from a collaborative filtering approach and extending that to more complex deep recommender systems. #DeepLearning #ODSC #DataScience https://t.co/1jqRTO3M46

[Nando de Freitas @NandoDF]

My slides for the #NeurIPS2018 Meta-Learning are now up. Big thanks to the organisers! https://t.co/FcUBcDTygo

[MIT Tech Review ES @techreview_es]

#LoMásLeídoJulio | Cinco #algoritmos han sido capaces de vencer a los humanos en #Dota2 https://t.co/9uniMGHnwV #InteligenciaArtificial #IA

[PCUV @parccientificuv]

#LasEmpresasDelParc | @RedHatInc , líder mundial de soluciones de código abierto empresarial, se instala en el @PCUV_ de la @UV_EG para "desarrollar nuevas tecnologías y resolver problemas de forma más rápida e innovadora" ➡️
https://t.co/qYJX1sFlkl #OpenSource #TIC

[Kirk Borne @KirkDBorne]

*Free* eBooks on Data Visualization and #MachineLearning for DataScientists : https://t.co/dguZdOeHMM #abdsc #BigData #DataScience #DataViz #AI #Python #Rstats

[Data Science Central @Datasciencectrl]

Top Data Science Resources on the Internet Right Now https://t.co/eAd2F0D18d

[Yann LeCun @ylecun]

Video of my keynote at the International Joint Conference on Artificial intelligence, delivered yesterday in Stockholm. https://t.co/xxiQs1CTld

[Data Science Central @Datasciencectrl]

Credit Risk Prediction Using Artificial Neural Network Algorithm https://t.co/XfKqZNXY53

[Data Science Central @analyticbridge]

80 Best Data Science Books That Are Worthy Reading https://t.co/MbTPdE4dPy

[Forbes Tech @ForbesTech]

Report From PwC Says AI Won't Kill The Job Market, But Keep It Steady
https://t.co/c8t5IOCxlE

[KDnuggets @kdnuggets]

https://t.co/u8flrYKP9J Deep Learning Part 1 Complete Course Notes https://t.co/KFlZu5RPiW

[Kike Serrano @enriqueserranom]

https://t.co/zDVmt5xWad https://t.co/PbDtjB3h93

[Rosa Benet Carot @benet_rosa]

El poder de la Inteligencia Artificial en la gestión de activos https://t.co/ie54TKfTyR

[KDnuggets @kdnuggets]

5 Free Resources for Getting Started with Deep Learning for Natural Language Processing
https://t.co/gJdI4oKYr6