Emir Muñoz

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Emir Muñoz

Emir Muñoz

@emir_munoz

Machine Learning Engineer/Manager • PhD in Computer Science • Bringing #AI #ML #MLOps #DataScience to #CX from Galway, Ireland

Galway, Ireland Katılım Ocak 2010
2K Takip Edilen630 Takipçiler
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Bianca Pereira
Bianca Pereira@BiaResearcher·
The biggest enemy of content creators: Writer's block. Some people spend *months* developing their knowledge — when it is time to write, it is gone! Here are 5 types of writer's block and how to solve them.
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Daily AI Papers
Daily AI Papers@papers_daily·
A Library for Representing Python Programs as Graphs for Machine Learning ai.papers.bar/paper/fe50b7f2… Graph representations of programs are commonly a central element of machine learning for code research. We introduce... 🧵 👇
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Gael Varoquaux 🦋
Gael Varoquaux 🦋@GaelVaroquaux·
⚡️Preprint: Why do tree-based models still outperform deep learning on tabular data? We give solid evidence that, on tabular data, achieving good prediction is easier with tree methods than deep learning (even modern architectures) and explore why hal.archives-ouvertes.fr/hal-03723551 1/9
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/MachineLearning
/MachineLearning@slashML·
A python module to fetch relevant papers based on keywords from different sources, including Arxiv, ACL, ACM, PMLR, CVF etc. and fetch all citations of a research paper from google scholar reddit.com/r/MachineLearn…
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Evidently AI
Evidently AI@EvidentlyAI·
A Friday ML use case📕 Linkedin uses ML to help their sales representatives segment, prioritize, and help target accounts. To make recommendations useful, they added user-facing explainability features that provide narrative insights.   How it works 👇🏼 engineering.linkedin.com/blog/2022/the-…
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Vlad Haltakov
Vlad Haltakov@haltakov·
Did you ever want to learn how to read ROC curves? 📈🤔 This is something you will encounter a lot when analyzing the performance of machine learning models. Let me help you understand them 👇 #RepostFriday
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Emir Muñoz
Emir Muñoz@emir_munoz·
@alt227Joydeep @haltakov Oh you shouldn't trust AUC-ROC for imbalance data, same as for Accuracy. You are best looking at AUC-PR (area under the precision recall curve) or MCC (Matthews correlation coefficient)
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Joydeep
Joydeep@alt227Joydeep·
@haltakov Great explanation. ROC AUC curves are highly underrated especially in imbalanced systems ( which is like all real world systems)
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Emir Muñoz
Emir Muñoz@emir_munoz·
Very interesting analogy between fast (AI) decisions and fast food. You can always cook at home or get it from a good restaurant instead of McDonald's. How homeowners defeated Zillow’s AI, which led to Zillow Offers’ demise geekwire.com/2022/commentar…
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Emir Muñoz
Emir Muñoz@emir_munoz·
This article explains how to engineer relationships following 3 principles What Every Engineer and Computer Scientist Should Know: The Biggest Contributor to Happiness m-cacm.acm.org/magazines/2021…
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Luigi Patruno
Luigi Patruno@MLinProduction·
Evaluating ML models by computing a metric over a test set is not enough. Critical to identify sub populations within a test set (ie segments/slices) and examine model performance on those subsets. But how do you identify the subsets? Here’s 3 ways:
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Bianca Pereira
Bianca Pereira@BiaResearcher·
With a 'can do' attitude we can achieve many things. @Crowd4access was once only an idea in my mind, got early support of my colleague @VenkateshGM20 and @insight_centre. Today people are out in the streets to map footpath access for all. I cannot state how proud I feel ☺️
Crowd4Access@Crowd4Access

Why not join Emer and Padhraic and become a Citizen Scientist yourself! Learn how to start mapping your local area on our website. Next workshop is Nov 17th as part of @galwayscience! @insight_centre @enable_ie @scienceirel @EnableIreland #footpaths #CitizenScience #mapping

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