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#mascherina #TrendingTopic
1. Non è dispositivo di protezione individuale: la MIA protegge TE, la TUA protegge ME
2. Indossarla sempre nei luoghi pubblici al chiuso e all'aperto solo se distanza >1 metro non garantita
3. Non disperderla nell'ambiente
Any question?
#COVID__19
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By posting GPT generated text we’re polluting the data for its future versions
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Differentiable ODE Solvers with Backpropagation. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Mathematics #Programming #Coding #100DaysofCode
bit.ly/2PrRso6
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Why doctors from China headed to Italy immediately? In 1983, Italy donated the one of the largest Emergency Medical Center in Beijing. After almost 40 years, we still remember ❤️🇨🇳 🇮🇹 . #cina #COVID2019italia #coronavirusitalla #Covid_19 #itwillbeok
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Replying to @MedBunker
Quanta pignoleria, L'Italia è stata comunque la prima in Italia a isolare il Coronavirus
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You can now run a TensorFlow SavedModel in Node.js directly without conversion - and you might even get a performance boost! 🏎⚡️
Read the blog to learn how ↓
blog.tensorflow.org/2020/01/…
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I've left my position at NVIDIA (it was great!)
I'm starting a Dask company
matthewrocklin.com/blog/work…
Wish me luck :)
SenteticSense retweeted
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Process #NeurIPS2019
By David Salinas
Jointly learns temporal dynamics (LSTM) & covariance (Low-Rank Gaussian Copula) that scale to much larger dims.
Code github.com/mbohlkeschneider/…
Abs arxiv.org/abs/1910.03002
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Very impressive results:
Momentum Contrast for Unsupervised Visual Representation Learning by Kaiming He et al. arxiv.org/abs/1911.05722
Better than supervised ImageNet pre-training for transfer learning on object detection (eg COCO).
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We love making valuable connections and that’s why thanks to the @jadatascience, one of Rockstart’s #AI 2018 alumni was able to join a 14-day trade mission to #China. Yesterday, @SenteticSense attended the 5th edition of the Sino-German/European SME Cooperation Conference 2019.
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Very useful! Keras vs. tf.keras: What’s the difference in #TensorFlow 2.0? (W/ Py code)
pyimagesearch.com/2019/10/21… #DeepLearning #DataScience #AI #MachineLearning
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What got me the most excited about the #Python 3.8 release:
> multiprocessing can now use shared memory segments to avoid pickling costs between processes
FINALLY! #programming
python.org/downloads/release…
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Useful! #TensorFlow 2.0 + #Keras Tutorial Overview for Deep Learning Researchers (w/ Py code in Colab) #DataScience
#MachineLearning #AI #DeepLearning #colab colab.research.google.com/dr…
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A ComoNExT con gli amici di @012factory incontriamo una delegazione di #Caserta. Obiettivo: avviare percorsi di innovazione condividendo competenze e modelli di sviluppo.
#NExTinnovation #startup #PMI #innovazione #innovation #apsti
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Surprise!
blog.blazingdb.com/blazingsq…
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How to ship ML in practice:
1/ Write a simple rule based solution to cover 80% of use cases
2/ Write a simple ML algorithm to cover 95% of cases
3/ Write a filtering algorithm to route inputs to the correct method
4/ Add monitoring
5/ Detect drift
...
24/ Deep Learning
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I gave it all. Disappointed for the team but not much we could have done better. Congratulations for the win @Max33Verstappen
📸: @motorsportpics1
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We have released our #pix2pixHD under the BSD license
github.com/NVIDIA/pix2pixHD
(It was under CC non-commercial license.)
Please feel free to use it.
































