Antonio Rebordao @data_wizard

#MachineLearning #DataScience #python #r #rstats, #pydata #agile #devops linkedin.com/in/rebordao London Joined April 2009

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Antonio Rebordao @data_wizard

4 years ago

Reinforcement Learning Lecture series by Deep Mind and UCL deepmind.com/learning-resou…

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Antonio Rebordao @data_wizard

5 years ago

Well done MFlow Community, v1.13 was just released mlflow.org #mlflow MLflow is a tool to manage the ML lifecycle

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Antonio Rebordao @data_wizard

5 years ago

Association Analysis for humans rasbt.github.io/mlxtend/user_g… #apriori

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Unfortunately I've witnessed these in some large companies: 1) That throwing money at a problem doesn't buy a culture of rigour; 2) and having non-technical leaders/managers can be a strong reason for a project to fail or underperform. rssdss.design.blog/2020/10/10/rea… by @martingoodson

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Papers with Code @paperswithcode

5 years ago

🔥 Introducing... the ML Reproducibility Challenge 2020! The 4th annual edition now expands to cover papers from 7 major ML conferences: NeurIPS, EMNLP, ACL, ICML, ICLR, CVPR and ECCV. Find more here at Papers With Code: paperswithcode.com/rc2020

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EnVsion @goEnVsion

5 years ago

Thrilled to announce that we'll be joining the tailor-made Axel Springer & Porsche (@apxberlin) accelerator programme next month in Berlin 🚀🚀 Looking forward to writing the next steps of our story with the support of APX and all our partners! #startups

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Antonio Rebordao @data_wizard

5 years ago

🚀

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Antonio Rebordao @data_wizard

5 years ago

Need to try this out in our datasets analyticsvidhya.com/blog/2020/05/f…

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Antonio Rebordao @data_wizard

5 years ago

venturebeat.com/2020/05/29/ope…

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Antonio Rebordao @data_wizard

5 years ago

The first of many successes!

EnVsion @goEnVsion

5 years ago

The first of many successes!

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Sander Dieleman @sedielem

5 years ago

I second this recommendation, one of the clearest explanations of these concepts I've seen! Also a really nice demonstration of how to create slides that support the message, rather than distract from it.

Xavier Bresson @xbresson

5 years ago

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Antonio Rebordao @data_wizard

5 years ago

New Kids on the Block :)

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Antonio Rebordao @data_wizard

5 years ago

There are several reasons why data science projects can fail, non-technical managers excessive control is one of them. bit.ly/3caHTBu

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Andrej Karpathy @karpathy

5 years ago

"The Future of Natural Language Processing" youtu.be/G5lmya6eKtc from @huggingface, well done quick summary of recent NLP work and lots of good pointers! 👏

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Armando Vieira @Lidinwise

6 years ago

EU proposes rules for artificial intelligence to limit risks news360.com/article/520947…

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AI at Meta @AIatMeta

6 years ago

We just released PyTorch3D, a new toolkit for researchers and engineers that’s fast and modular for 3D deep learning research: ai.facebook.com/blog/-introduc…

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Antonio Rebordao @data_wizard

6 years ago

This sums up a familiar scenario

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Antonio Rebordao @data_wizard

6 years ago

The do's and don'ts of starting a data science team | StatsLife bit.ly/2FFQf5a

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Jeremy Howard @jeremyphoward

6 years ago

I've been working with @GuggerSylvain for a long time to create something that combines the best of @ProjectJupyter Notebooks with the best of traditional software development approaches. It's called nbdev. We're releasing it today as open source. fast.ai/2019/12/02/nbd… 1/

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Google DeepMind @GoogleDeepMind

6 years ago

In our new paper arxiv.org/abs/1907.02544 we show that GANs can be harnessed for unsupervised representation learning, with state-of-the-art results on ImageNet. Reconstructions, as shown below, tend to emphasise high-level semantics over pixel-level details.