Luis Aburto (@luaburto) header
Luis Aburto (@luaburto) profile picture

PhD and Assistant Professor at @ingenieriaUAI. Working on #datascience in Operations Management & Quantitative #Marketing. Love franciscans & tennis #rstats

Santiago, Chile
Joined January 2008
Photo by Luis Aburto (@luaburto)Photo by Luis Aburto (@luaburto)Photo by Luis Aburto (@luaburto)Photo by Luis Aburto (@luaburto)Photo by Luis Aburto (@luaburto)Photo by Luis Aburto (@luaburto)Photo by Luis Aburto (@luaburto)Photo by Luis Aburto (@luaburto)Photo by Luis Aburto (@luaburto)Photo by Luis Aburto (@luaburto)
Luis Aburto retweeted
So can we all agree this is the point of the year ??
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The greatest shot/point of Gael Monfils' career: A 90-degree horizontal dive... wrong-footed 🤯 🇫🇷 2009 Roland-Garros 🏟️ Court Suzanne-Lenglen 🆚 Jurgen Melzer, third round
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Luis Aburto retweeted
i gave myself fed's forehand, zverev's backhand, and kyrgios' serve
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Tennis, but with a different view 👀 Explore our live AR streams and multi-court coverage 📺 Watch live -> app.tnn.is/LGSS/X
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Luis Aburto retweeted
A LUNG-BUSTING RALLY 😱 #RolexParisMasters
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4 minutos y 17 segundos para disfrutar de los mejores puntos de Stan Wawrinka. Qué pedazo de jugador, por favor.
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Nunca olvidar y valorar lo que tenemos. ¿Qué no hay problemas? No. ¿Qué todo está perfecto? Tampoco. ¿Qué todo es un desastre? Menos. Tenemos una sólida institucionalidad comparada. El desafío es construir sobre ella reformas que empujen el desarrollo económico y social.
This quoted post is unavailable.
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Luis Aburto retweeted
こんなダンクNBAでも見たことないんだけど、、、 計り知れないなこのルーキーは。
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Luis Aburto retweeted
Elon Musk is promoting a video that rewrites the history of Nazism to suit today’s far right. Here’s what happened in 1933, who made the video, and why it matters. Within weeks of Hitler taking power in January 1933, the organised left was being dismantled. Communists, Social Democrats and trade unionists were rounded up, and Dachau opened in March, initially to imprison political opponents, above all Communists. On 2 May the Nazis smashed the independent trade unions and replaced them with the state-controlled German Labour Front. A week later, students burned the works of Marx and Kautsky, with a fire oath declaring itself “against class struggle and materialism”. Dachau’s first murders came on 12 April 1933, when the SS shot four Jewish prisoners: Rudolf Benario, Ernst Goldmann, Arthur Kahn and Erwin Kahn. Benario and Goldmann were young left-wing activists from Fürth. The very rich were treated differently. Many industrialists had feared the Nazis were socialists, so in January 1932 Hitler addressed Düsseldorf’s Industry Club, playing down his antisemitism and stressing his anti-Marxism to reassure them. Few backed him openly until he took power. On 20 February 1933, Hitler met leading industrialists, Gustav Krupp among them, and told them: “Private enterprise cannot be maintained in the age of democracy.” It was conceivable, he said, only where people had “a sound idea of authority and personality”. They contributed more than two million Reichsmarks to the election fund of Hitler’s coalition. Private ownership was preserved for compliant industrialists, company profits rose sharply, and in the mid-1930s the regime even sold state stakes in banks, steelworks and shipping back into private hands. In 1934, Hitler also had members of his own movement who took its anti-capitalist rhetoric seriously murdered during the Night of the Long Knives. Yes, the Nazis controlled prices, wages and investment, as Britain did in wartime. State control tells you how an economy is run, and the question that matters is whom it serves. The Nazi state crushed independent labour, protected compliant employers, and harnessed the economy to rearmament and conquest. That is why historians place Nazism on the far right, including conservatives such as Ernst Nolte, who saw anti-Marxism as fascism’s defining feature. The word in the party’s name was largely a recruiting device, designed to lure workers away from the real socialist and communist parties. A name settles nothing, any more than North Korea’s makes it democratic. The man Musk is amplifying is Brivael Le Pogam, the Paris-based co-founder of Argil, a Silicon Valley-backed company selling AI video avatars, who boasts of using AI to win hundreds of millions of views. His self-described “masterclass” spends minutes on price controls and the voting habits of American professors. It never once mentions the Holocaust. Race appears once, as “fuel”. He is candid about why. With Hitler on the right, he complains, anyone defending “borders” or “the nation” is “one step away from fascism”. That is “why Milei is far right” and “why people call Elon Musk a Nazi”. A nationalist politics is to be cleansed by relabelling history’s most murderous nationalist. He even cites Leo Strauss’s “reductio ad Hitlerum”, the fallacy of condemning an idea because Hitler held it, and then commits it from start to finish. And his test of freedom is simply the free market, which would place Pinochet’s Chile, with its torture and disappearances, on the side of freedom. So the world’s richest man is promoting an attempt to free the far right from its own history, turning the Nazis’ first victims into props for their persecutors. History records which side Germany’s richest men chose in 1933. It’s worth noticing who is now keen to blur it. It’s polished, confident and wrong, and it’s built to divide: anyone who objects is cast as the enemy of freedom. Freedom for whom? Remember who filled Dachau first.
Hitler was a far left socialist. Literally in the name of his party!
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Luis Aburto retweeted
Replying to @elonmusk
Hitler was as much of a far-left socialist as you are a democracy-loving humanist.
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Luis Aburto retweeted
I grew up playing tennis competitively, and two years ago, before two kids, I was still pretty good (9 UTR). I’ve been getting back into it, but I wish I had a world-class coach telling me what to work on. But good coaches are expensive, selective, and hard to find, whereas models are cheap, available, and should be already good enough. So clearly, @nicochristie and I needed to explore what's possible. We chained open-source models post-trained on tennis. This cut each broadcast down to live play, found and tracked the players, ball, court, and labeled every stroke with its type and a 65-joint skeleton. We then post-processed this data into 30+ biomechanical traits across serves, forehands and backhands, normalized for each player’s build and the camera. This included the goat @DjokerNole, @carlosalcaraz, @DaniilMedwed, @FTiafoe, @AlexZverev, @BenShelton, @Taylor_Fritz97, @NickKyrgios, @AndreyRublev97, @janniksin, and @TommyPaul1. Using the same pipeline, we then processed phone footage of myself and @phamrich_ (ex-D1, used to be >13 UTR) playing. Then we gave Claude all the measurements with a blank context. What impressed me: - Without being told, it found my weaker side (forehand) and Richard’s (backhand) - It joined differences that looked separate into one root cause per stroke - My own diagnosis of my forehand was wrong. Claude’s makes a lot more sense What do you think? @bgtennisnation @paul_annacone @darren_cahill Drop youtube links here if you want Coach Claude to give you tips
Why hasn’t AI already revolutionized sports analytics? We turned 34 hours of tennis videos of 11 ATP pros into precise measurements of how each player hits. We then measured @BrainsAndTennis and @phamrich_. Turns out Claude is an exceptional tennis coach. offpolicyinc.com/work/claude…
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📚 Este libro gratuito se considera una de las biblias para aprender Machine Learning y Ciencia de Datos. Equilibra teoría y práctica de forma sencilla con R o Python. Y al final de cada capítulo incluye laboratorios paso a paso con datos reales.🧵👇🏻 #stats #DataScience #code
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Luis Aburto retweeted
NOOOOOOO 😱 ¿¿¿QUÉ HACE WEMBANYAMA???
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Luis Aburto retweeted
El Gerente de Inversiones de Cuprum repite q hay q mirar el largo plazo. Le tengo un dato, sacado de la propia app de la AFP: si hace exactamente 10 años hubiese invertido 100 UF en el fondo E a través de la Cta2 de AFP Cuprum, hoy tendría menos de 100 UF.
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Interesting!! - Democratizing Optimization with Generative AI @SSRN papers.ssrn.com/sol3/papers.…
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Propensity Score Matching (PSM) is one of the most widely used methods for estimating causal effects from observational data. The basic idea is straightforward: instead of directly comparing treated and untreated individuals, PSM first estimates each person's probability of receiving the treatment based on a set of observed covariates. Individuals with similar propensity scores are then matched, creating treatment and control groups that are more alike with respect to those observed characteristics. Some key advantages of PSM include: Reduced confounding from observed variables Improved covariate balance between the treatment and control groups More credible estimates of treatment effects in non-randomized studies Straightforward implementation in R The figure below shows one of the most important diagnostic plots in a PSM analysis: the propensity score distributions of the treated and control groups before and after matching. Before matching, the two distributions differ substantially, indicating that the treatment and control groups are not directly comparable. After matching, the overlap between the distributions improves noticeably, suggesting that the matching procedure has reduced some of these differences. However, the overlap is still far from perfect. Differences between the matched distributions remain, particularly at lower and higher propensity score values. This suggests that the matching procedure could potentially be refined further. Depending on the situation, alternative matching algorithms, different caliper settings, or additional model adjustments may help improve covariate balance even more. Subscribe to my newsletter for regular updates on statistics, data science, AI, and R and Python programming. Learn more: statisticsglobe.com/newslett… #datavis #R #RStats #database
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Luis Aburto retweeted
Apparently they had cast the wrong guy for the role of Will Hunting.
Ben Affleck reveals he writes Python, understands convolutional neural networks, worked extensively with GPUs, and used his celebrity status to get private looks at Google and OpenAI’s video models “I’ve always been kind of into computers since I was young. Then, when film started to move from analog film to digital, I became more interested in that aspect of it. The visual-effects workflow for many years has included machine learning, so I can write pretty shitty Python scripts and stuff like that. “With convolutional neural networks, which were the precursors to what the transformer can do, which is much more computation simultaneously, you would do things like look at what’s called a tensor. That’s the numerical translation of a visual image in numbers, like the batch number, the frame number and the red, green and blue values of each pixel in each frame. It’s just that simple. That numeric is called a tensor. “You’d use a convolutional neural network to identify patterns that reveal what’s called edge detection or feature extraction, which is identifying patterns well enough to know, this is where the window ledge is, so we can more easily take the green-screen image out and replace it with something. “That was familiar to me early on because, prior to Artists Equity, I had a small visual-effects company. I’ve worked with GPUs a lot too. The visual-effects guys said, ‘Hey, you should see. There are a couple: Google and this other company, OpenAI, are doing really interesting stuff with transformers in video.’ “I’ve learned that I can actually just call up and go, ‘Hey, it’s Ben Affleck. Can I come see what you’re doing?’ Sometimes people say yes, to my astonishment.”
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Luis Aburto retweeted
Quizás es el mejor pase que he visto en mi vida y no estoy exagerando ni un poco.
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Luis Aburto retweeted
What's the best way to solve linear regression? (No, it’s not least squares.) In our new paper, we show that principal component regression (PCR) beats, up to constants, every monotone spectral filter (incl. gradient descent & ridge regression) on every problem instance! (1/8)
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Luis Aburto retweeted
📦 Very happy to announce a new release of our causalweight R package for causal inference+machine learning! New: continuous treatments, mediation with DiD, direct/indirect quantile effects, learning instruments & controls, effect homogeneity tests. CRAN.R-project.org/package=c…
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