Carlos Krahembuhl @carloszoppi
Eterno aprendiz, aquele que diz saber tudo não sabe nada, gosto de tecnologia, boas notícias e música de boa qualidade (rock and roll) Brasil Joined April 2010-
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Wanna build an ML app, but feel stuck? In this video I share a few tips to help you get started 🎬↓
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Outliers do not fit in with the rest of the data. But how can an ML model identify them? Let me introduce one-class classification.
Ensemble Models: What Are They and When Should You Use Them? builtin.com/machine-learni…
I've received many job offers because I was the most prepared for the job interview, not because I was the "smartest". Here are 10 common interview questions and how to prepare for each, so you get a job offer:
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The most important part of a histogram: The number of bins. Here are a few techniques to optimize it: 1/8
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How a young statistician identified a cognitive bias called "Survivorship Bias" and saved lives: During World War II, the U.S. wanted to add reinforcement armor to specific areas of its planes. Analysts examined returning bombers, plotted the bullet holes and damage on them (as…
Richard Feynman's love letter to his deceased wife, 1946. October 17, 1946 D’Arline, I adore you, sweetheart. I know how much you like to hear that — but I don’t only write it because you like it — I write it because it makes me warm all over inside to write it to you. It is…
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Age when their business started: 🇺🇸 Bill Gates (Microsoft) - 19 🇺🇸 Mark Zuckerberg (Facebook) - 19 🇺🇸 Walt Disney (Disney) - 21 🇺🇸 Steve Jobs (Apple) - 21 🇮🇳 Ritesh Agarwal (OYO) - 22 🇺🇸 Bill Clerico (WePay) - 22 🇺🇸 Jack Dorsey (Twitter) - 23 🇺🇸 Larry Page (Google) - 25 🇺🇸…
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Supply Chain Optimization is a critical area where businesses can leverage Data Science. In the next 2 minutes, I’ll explain how data science can improve supply chain management (with R and Python Starter Supply Chain Projects). Let's dive in: Data science offers powerful tools…
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[PAQUETE 📦] - ¿Conocías {easystats}? Es una colección de 📦 de R, cuyo objetivo es proporcionar un marco unificado y consistente para dominar, disciplinar y aprovechar las estadísticas aterradoras y sus modelos. 🌐 easystats.github.io/easystats/ ✍🏼 ☓: @patilindrajeets #Rtips
How can artificial intelligence be utilised for longitudinal monitoring in multiple sclerosis (MS)? In this patient case study video we examine the case of a woman, 37 years of age, with typical right optic neuritis and a confirmed diagnosis of MS.
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For the proportional odds model (MASS:polr()), the effects package does this nicely using latent=TRUE. The dotted lines represent the cutpoints between adjacent outcomes
How do you plot out ordinal regression intuitively (I really hate the facet plots showing a logistic regression for each level of the outcome)?
Wanna build an ML app, but feel stuck? In this video I share a few tips to help you get started 🎬↓