JennyLCopara

[Yann LeCun @ylecun]

Awesome work from FAIR on "protein embedding" using pre-trained transformer architectures. SOTA results on remote homology, secondary structure, contact map, and mutational effect predictions.

[Google DeepMind @GoogleDeepMind]

Neural networks are the models responsible for the DL revolution since 2006, but their foundations go as far as the 1960s. Watch @wojczarnecki explain the basics of how these models operate, learn & solve problems: https://t.co/O34g3NNlHs

#AtHomeWithAI (@ai_ucl)

[Stanford NLP Group @stanfordnlp]

“Stanford has another fantastic NLP course which is also freely available online taught by a world renowned NLP researcher, academic, and author. The course in is From Languages to Information (CS124), and it is taught by Dan @Jurafsky.” https://t.co/FhVbzhX8XW

[KDnuggets @kdnuggets]

What are the Top 10 Data Science and AI Books of 2020 https://t.co/ykZhyPMtZc

[KDnuggets @kdnuggets]

Which Country Has Flattened the Curve for the #Coronavirus? China and South Korea have managed it, while most other major countries are still on the exponential growth :( https://t.co/2x7SEYGZ24

[Stanford HAI @StanfordHAI]

Disease does not spread in isolation - it spreads alongside rumors, hoaxes and pseudoscience, says @DoctorYasmin. She explains how disinformation campaigns threaten public health. https://t.co/qG3XKpAqUo

[cineca-project @CinecaProject]

Welcome to @CinecaProject Annual General Meeting 2020! Due to the ongoing situation, we have now moved our AGM to a virtual platform. Follow us on #cinecaAGM as we discuss the latest updates in the @CinecaProject.

[Jorge 🏥📱❤️ @perez]

Regalo de navidad🎄🎅 para l@s fanatic@s del Procesamiento Computacional de Lenguaje Natural! 🤓

BETO es un modelo BERT pre-entrenado con texto únicamente en español. Redes Neuronales Profundas🤖 en nuestro idioma! https://t.co/6yA0ikyaCi

[khipu.ai @Khipu_AI]

"@JeffDean was one of the first speakers to agree to speak at Khipu, and it was with his support we were really able to get Khipu off the ground. So, thank you Jeff from all of us, and looking forward to the closing talk at Khipu 2019!"

Livestream: https://t.co/yV7D6R4PSg

[Stat.ML Papers @StatMLPapers]

Machine Learning meets Number Theory: The Data Science of Birch-Swinnerton-Dyer. (arXiv:1911.02008v1 [math.NT]) https://t.co/WiIyOkePJd

[Josh Gordon @random_forests]

A nice mini-course on GANs was published this summer, in case you haven't seen it:

https://t.co/ZHFqOvvoi2

[Data Science Central @analyticbridge]

Lots of Free Open Source Datasets to Make Your AI Better  https://t.co/kCqJTOclbV

[KDnuggets @kdnuggets]

Everything a Data Scientist Should Know About Data Management - KDnuggets https://t.co/doCBghygoi

[Neil Lawrence @lawrennd]

Looking for mentors for @dsa_org students. See @DataForger tweet below.

[Stat.ML Papers @StatMLPapers]

Do Compressed Representations Generalize Better?. (arXiv:1909.09706v1 [cs.LG]) https://t.co/JxH0gtPxSR

[LINGUIST List @linguistlist]

Books: The Oxford Handbook of Language Contact: Every language has been influenced in some way by other languages. In many cases, this influence is reflected in words which have been absorbed from other languages as the names for newer items or ideas,… https://t.co/8BQ5hHMe1N

[KDnuggets @kdnuggets]

Bring Data Science Courses to your office with @TDWI onsite, with courses like Hands-on #DataScience in R; #rstats ; Intro to Data Science Methodology; Intro to #MachineLearning and more. https://t.co/ih5inG5Yw9

[KDnuggets @kdnuggets]

Deep Learning for NLP: Creating a Chatbot with Keras! https://t.co/NmxWsUES2v

[Sebastian Ruder @seb_ruder]

In the second part of the NLP and speech processing session @DeepIndaba, @alienelf presents her journey and work on machine translation for African languages with @LauraMartinus
#DLIndaba2019