SenteticSense (@SenteticSense) header
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A fresh approach to IoT sensors data analytics using ML and predictive algorithms to prevent breakdowns, increase asset lifecycle and reduce maintenance costs.

Joined October 2015
Photo by SenteticSense (@SenteticSense)Photo by SenteticSense (@SenteticSense)Photo by SenteticSense (@SenteticSense)Photo by SenteticSense (@SenteticSense)Photo by SenteticSense (@SenteticSense)Photo by SenteticSense (@SenteticSense)Photo by SenteticSense (@SenteticSense)Photo by SenteticSense (@SenteticSense)Photo by SenteticSense (@SenteticSense)
SenteticSense retweeted
Eroi dei nostri tempi
#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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SenteticSense retweeted
By posting GPT generated text we’re polluting the data for its future versions
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SenteticSense retweeted
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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SenteticSense retweeted
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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SenteticSense retweeted
I've left my position at NVIDIA (it was great!) I'm starting a Dask company matthewrocklin.com/blog/work… Wish me luck :)
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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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During demo client opens the website in Internet Explorer. Developer:
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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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