Discover and read the best of Twitter Threads about #DS
Most recents (10)
Visto che ho letto in questi giorni tantissime inesattezze e sciocchezze,anzi no,vere e proprie cagate,mi sono messo a fare delle semplici ricerche e controlli per potervi chiarire delle cose,visto che da soli non ce la fate e/o non vi conviene..⬇️
Comincio facendovi un report,sui giorni di riposo dei giocatori 🤍🖤 dopo l'ultima partita disputata al Mondiale:
#Rabiot: 11gg
#McKennie: 12gg
#Bremer: 13gg
#Kostić e #Vlahovic: 13gg
#DiMaria e #Paredes: 15gg
#Szczęsny e #Milik: 15gg
#AlexSandro e #Danilo: 18gg
⬇️
#Rabiot: 11gg
#McKennie: 12gg
#Bremer: 13gg
#Kostić e #Vlahovic: 13gg
#DiMaria e #Paredes: 15gg
#Szczęsny e #Milik: 15gg
#AlexSandro e #Danilo: 18gg
⬇️
Indipendentemente dal numero di gare giocate,festeggiamenti,festeggiamenti di capodanno con famiglie,voli transoceanici,voli locali,voli interni etc etc..
Escludendo Bremer e Rabiot che d'iniziativa personale hanno anticipato il rientro a Torino,per rimettersi al lavoro ⬇️
Escludendo Bremer e Rabiot che d'iniziativa personale hanno anticipato il rientro a Torino,per rimettersi al lavoro ⬇️
Decision trees based Machine Learning models are some of the best performant algorithms in eras of predictive capability, especially on small and heterogenous datasets.
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They also provide an unparalleled level of interpretability compared to all other non-linear algorithms. However, they are very hard to optimize on Von Neumann architecture machines due to their non-uniform memory access patterns.
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In groundbreaking work published in Nature Communications a team of researchers has shown that analog content addressable memory (CAM) devices with in-memory calculation can dramatically accelerate tree-based model inference, as much as 10**3 over the conventional approaches 3/4
This past week I came across another paper that purports to get the SOTA for NNs for tabular data. Due to the extreme penchant for exaggeration in this community, I have given up on checking most of these claims, but decided to take a look at this particular work.
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I decided to check how does XGBoost *really* perform on the datasets used in the paper, and the results were not pretty.
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The main takeaway: for all three datasets used in the paper, the reported performance of XGBoost was widely inaccurate and the real performance was much better than their best results.
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3/6
NVIDIA GTC starts today! There are tons of exciting topics and webinars covered. This year again the whole conference is online and free, so go and register if you have not done so already.
Here are a few special highlight sessions:
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Here are a few special highlight sessions:
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GTC 2022 Keynote - September: lnkd.in/gYNqxsnr
How CUDA Programming Works: lnkd.in/gKmdjZub
Building the Future of Work with AI-powered Digital Humans: lnkd.in/gXJWk6vz
Building Future-Ready Intelligence for Cars: lnkd.in/gJ9BJMGM
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How CUDA Programming Works: lnkd.in/gKmdjZub
Building the Future of Work with AI-powered Digital Humans: lnkd.in/gXJWk6vz
Building Future-Ready Intelligence for Cars: lnkd.in/gJ9BJMGM
2/4
A Deep Dive into RAPIDS for Accelerated Data Science and Data Engineering: lnkd.in/gM7mquwc
A Deep Dive into the Latest HPC Software: lnkd.in/ghXxGmar
Cross-Framework Model Evaluation and Accelerated Training with NVIDIA Merlin: lnkd.in/gXUEdajH
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A Deep Dive into the Latest HPC Software: lnkd.in/ghXxGmar
Cross-Framework Model Evaluation and Accelerated Training with NVIDIA Merlin: lnkd.in/gXUEdajH
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#GTC22 is just around the corner, and it is a fully online and free event. There are numerous incredible and valuable sessions. If you are an academic, researcher, or an early-career ML/AI aspirant, the following sessions might be of particular interest to you. 🧵 👇 1/7
5 Steps to Building a Career in AI: You’ll hear from AI experts as they give you insight into their journey and discuss the top five most practical steps you can take when beginning a career in artificial intelligence.
nvda.ws/3MYkBRU 2/7
nvda.ws/3MYkBRU 2/7
Fighting Diseases with High-resolution GPU-accelerated Molecular Dynamics Simulations. The rise of multi-GPU systems allows us to perform long timescale simulations either on supercomputers or in the cloud while enabling increased simulation accuracy. 3/7
nvda.ws/3ie4QYS
nvda.ws/3ie4QYS
Language models are some of the most interesting and most promising research topics in AI. After all, being able to communicate with humans naturally has long been considered *the* ultimate goal for AI (Turing test).
arxiv.org/abs/2111.09509
#NLP #AI #ML #DS 1/3
arxiv.org/abs/2111.09509
#NLP #AI #ML #DS 1/3
However, even though large language models in particular are very powerful at generating new text, it is still an ongoing source of debate of how much of that ability is just "rote memorization", and how much is rooted in genuinely fundamental language understanding. 2/3
The interesting paper above tries to answer some of those questions. It would seem that the language models are quite capable of coming up with genuinely novel texts, especially for larger paragraphs, but they still seem to lack the basic semantic understanding of language. 3/3
Tal día como hoy ( en el año 2003 ) y tras el allanamiento de la policía gracias a la orden solicitada por el fiscal Thomas W. Sneddon, Michael Jackson hizo la siguiente declaración:
" He visto abogados que no me representan y portavoces que no me conocen hablando por mí. Estos personajes siempre parecen surgir con horribles acusaciones al igual que otro proyecto, un álbum, un video que se está lanzando ".
Tom Sneddon " casualmente " elige este día específico para atacar a Neverland con una orden de allanamiento acompañada de 7 miembros del Sherriff del condado de Santa Bárbara.
#JSM2021 panel led by @minebocek on upskilling for a statistician -- how to learn??
@minebocek #JSM2021 @hglanz no shortage of stuff to learn. First identify what you don't know -- that comes from modern media (blogs, twitter, podcasts; groups, communities -- @RLadiesGlobal or local chapters; professional organizations -- @amstatnews ).
@minebocek @hglanz @RLadiesGlobal @AmstatNews #JSM2021 @hglanz What do the job postings require these days? (This is how the content for the @CalPoly stat/data science program was developed.)
Burnout 2 : Point of Impact
Nintendo GameCube (2003)
Un jeu de course où l’on roule à grande vitesse sur des axes urbains en évitant le plus grand nombre de véhicules.
Si vous voulez une anecdote personnelle concernant ce jeu, ça se passe sur Instagram :
instagram.com/p/By28_ofos6M/
Nintendo GameCube (2003)
Un jeu de course où l’on roule à grande vitesse sur des axes urbains en évitant le plus grand nombre de véhicules.
Si vous voulez une anecdote personnelle concernant ce jeu, ça se passe sur Instagram :
instagram.com/p/By28_ofos6M/
VR Ping Pong
PlayStation 4 (2017)
Un jeu de simulation de Ping Pong en réalité virtuelle proposant 4 modes : Pratique, Solo, Tournament et Arcade.
instagram.com/p/By5dpVOI64q/
#1Jour1Jeu #PlayStation #VR #VRPingPong #PingPong #PSVR
PlayStation 4 (2017)
Un jeu de simulation de Ping Pong en réalité virtuelle proposant 4 modes : Pratique, Solo, Tournament et Arcade.
instagram.com/p/By5dpVOI64q/
#1Jour1Jeu #PlayStation #VR #VRPingPong #PingPong #PSVR
Darkest Dungeon : Ancestral Edition
Nintendo Switch (2018)
Un mix de RPG et dungeon crawler dans un univers dark fantasy très sombre et à la difficulté élevée, où l’on doit gérer le niveau de stress des héros, leur mort étant définitive.
instagram.com/p/By8I5iJIqYv/
#1Jour1Jeu #Switch
Nintendo Switch (2018)
Un mix de RPG et dungeon crawler dans un univers dark fantasy très sombre et à la difficulté élevée, où l’on doit gérer le niveau de stress des héros, leur mort étant définitive.
instagram.com/p/By8I5iJIqYv/
#1Jour1Jeu #Switch
Sería muy interesante armar el maratón de #MCU alrededor de #Avengers, pero acomodando todas las escenas de todas las películas en una sola línea temporal. No incluyo las series por que sería sumamente largo y complicado.
Abro #hilo y me explico.
#AvengersElHilo
Abro #hilo y me explico.
#AvengersElHilo
Actualmente hay dos formas (bueno hay un chingo) en que puedes ver todas las películas del Universo Cinematográfico de Marvel:
1.- En el orden cronológico de lanzamiento, es decir comenzar con #IronMan (2008), hasta llegar a #AvengersEndgame (2019).
1.- En el orden cronológico de lanzamiento, es decir comenzar con #IronMan (2008), hasta llegar a #AvengersEndgame (2019).
2.- Viéndolas en orden cronológico de tiempo de los eventos, es decir, comenzar con lo que sucedió primero con #CaptainAmerica: The First Avenger y terminando con #AvengersEndgame. Esto sin contar los "flashbacks" con los que comienzan algunas como #GuardiansOfTheGalaxy
