Clouderizer

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Clouderizer

Clouderizer

@ClouderizerT

Democratizing Deep Learning Development, making it affordable and easy to setup for everyone

Bangalore, India Katılım Şubat 2018
887 Takip Edilen119 Takipçiler
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Clouderizer
Clouderizer@ClouderizerT·
Clouderizer...Cloud IDE for Data Scientists ✓ Setup, train and serve your deep learning projects ✓ Save time and costs ✓ Increase productivity & collaboration clouderizer.com
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Clouderizer
Clouderizer@ClouderizerT·
Heart Failure Prediction using Random Forrest Classifier - drag n drop and deploy in under 2 minutes!! @sandeep.dharmavarapu945/deploy-and-test-heart-failure-prediction-ml-model-in-under-2-minutes-841cefc9696c" target="_blank" rel="nofollow noopener">medium.com/@sandeep.dharm…
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Clouderizer
Clouderizer@ClouderizerT·
@prakash_31206/best-way-to-deploy-and-showcase-your-h2o-machine-learning-models-4653dd1581e7" target="_blank" rel="nofollow noopener">medium.com/@prakash_31206… Whole new way of deploying and experiencing ML models in production.....
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Emil Wallner
Emil Wallner@EmilWallner·
Machine learning portfolio tips 1. Good ideas come from ML sources that are a bit quirky. - NeurIPS from 1987 - 1997 - Stanford’s CS224n & CS231n projects - Twitter likes from ML outliers - ML Reddit’s WAYR - Kaggle Kernels - Top 15-40% papers on Arxiv Sanity
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Jeremy Howard
Jeremy Howard@jeremyphoward·
fastai v2 (coming in the next couple of months) will have lots more tutorials showing use of fastai's lower-level APIs for more advanced users. Here's an example of using the new `Pipeline` class to create data for a Siamese model.
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