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Prikvačeni tweet
@kaggle is hiring a data science educator!https://www.kaggle.com/general/124968Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alexis Cook proslijedio/la je Tweet
What’s a quick read (<1hr), in any format, that either changed your life or is something you’d recommend to everyone?
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alexis Cook proslijedio/la je Tweet
Congrats
@kamleshce2005 ! Have you taken a Kaggle Learn course? Share your certificate with us! https://twitter.com/kamleshce2005/status/1222476299656036354 …pic.twitter.com/00tjGcoEby
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Also how I learned (and then later mostly forgot) Bayesian nonparametricshttps://twitter.com/lescipi/status/1222479672803495937 …
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Alexis Cook proslijedio/la je Tweet
Exploring the cost of living with a little
#folium and#matplotlib. I need to make more use of@alexis_b_cook excellent geospatial analysis course.https://www.kaggle.com/willacy/mapping-everything …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alexis Cook proslijedio/la je Tweet
Highly recommend
@dan_s_becker 's Machine Learning Explainability course. One of the many gems in this course is the tutorial on SHAP and the accompanying code. Its a brief set of tutorials in notebooks, but very worthwhile:https://www.kaggle.com/learn/machine-learning-explainability …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
An encouraging story for people trying to break into machine learning. You'll experience successes, and you'll also know failure. It's important to keep moving (so that idea didn't work? try another one!). Collaborate with people with similar goals.https://twitter.com/viglovikov/status/1215022383104282624 …
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TIL never to merge to master late on Friday afternoon ... even when the unit tests pass ...
#lessbranchesmoproblemspic.twitter.com/9D2kMsduFyHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alexis Cook proslijedio/la je Tweet
Particle Life: A Game of Life Made of Particles video https://youtu.be/Z_zmZ23grXE code https://github.com/fnky/particle-life … demo https://fnky.github.io/particle-life/ pic.twitter.com/ZBKkrzVytU
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Alexis Cook proslijedio/la je Tweet
We're releasing "Dota 2 with Large Scale Deep Reinforcement Learning", a scientific paper analyzing our findings from our 3-year Dota project: https://openai.com/projects/five/ One highlight — we trained a new agent, Rerun, which has a 98% win rate vs the version that beat
@OGEsports.pic.twitter.com/1kWvXwBHHpHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alexis Cook proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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amazing how easy it is to get started! $ pip install procgen $ python -m procgen.interactive --env-name starpilot usage: [--env-name {bigfish,bossfight,caveflyer,chaser,climber,coinrun,dodgeball,fruitbot,heist,jumper,leaper,maze,miner,ninja,plunder,starpilot}]https://twitter.com/OpenAI/status/1201909508009627649 …
0:29Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alexis Cook proslijedio/la je Tweet
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction Rather than hardcoding forward prediction, we try to get agents to *learn* that they need to predict the future. Check out our
#NeurIPS2019 paper! https://learningtopredict.github.io https://arxiv.org/abs/1910.13038 pic.twitter.com/XMjNyeRBK2Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Announcing Kaggle's newest course -- Geospatial Analysis! We carefully designed the hands-on exercises to work with real data and offer solutions to real-world problems (from around the globe)! Of course, you'll also learn to create stunning maps :) https://www.kaggle.com/learn/geospatial-analysis …pic.twitter.com/coxQb3CMRT
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really cool meta-RL benchmark environments, wish they were free to use (after the 30-day mujoco trial)!https://twitter.com/chelseabfinn/status/1171858992886206464 …
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Want to quickly create stunning data visualizations? Come learn with us at Kaggle Learn for only 30 minutes a day: https://www.kaggle.com/learn/data-visualization-from-non-coder-to-coder … no programming experience required :)
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Alexis Cook proslijedio/la je Tweet
We introduce PEARL, a new meta-reinforcement learning method that is 20-100x faster and has better end performance than the best prior method. I'm excited to see what this method enables us to do in the real world! w/ K Rakelly, A Zhou, D Quillen
@svlevine https://arxiv.org/abs/1903.08254 https://twitter.com/svlevine/status/1108541933658357760 …
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Alexis Cook proslijedio/la je Tweet
In collaboration with Google, we're releasing Activation Atlases: a new technique for visualizing what interactions between neurons can represent.
Blog: https://blog.openai.com/introducing-activation-atlases/ …
Paper: https://distill.pub/2019/activation-atlas …
Code: https://github.com/tensorflow/lucid/#activation-atlas-notebooks …
Demo: https://distill.pub/2019/activation-atlas/app.html …pic.twitter.com/7c6Q6GvNLqHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alexis Cook proslijedio/la je Tweet
We’re releasing a Neural MMO — a massively multiagent game environment that supports numerous populations of agents: https://blog.openai.com/neural-mmo/ - Code: https://github.com/openai/neural-mmo … - 3D Client: https://github.com/jsuarez5341/neural-mmo-client …pic.twitter.com/tEVPjxE7yP
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Alexis Cook proslijedio/la je Tweet
Today we are excited to release the MuJoCo Soccer environment and accompanying paper, Emergent Coordination through Competition: http://arxiv.org/abs/1902.07151 Environment: https://git.io/dm_soccer Sample gameplay: https://sites.google.com/view/emergent-coordination/home …pic.twitter.com/67kgScb30m
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Alexis Cook proslijedio/la je Tweet
We've trained an unsupervised language model that can generate coherent paragraphs and perform rudimentary reading comprehension, machine translation, question answering, and summarization — all without task-specific training: https://blog.openai.com/better-language-models/ …pic.twitter.com/360bGgoea3
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