Supervised Learning
topic on 7 shows · 9 statements across 8 episodes · said 1 times in 1 episodes since 2026
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9 statements about Supervised Learning, every show
DeepMind primarily uses traditional supervised learning for AI weather models
“What we use in our weather forecasting models, and a lot of folks out in the community are using it as, you know, as this field is advancing and this AI-based weather forecasting is developing, we're still mostly using fairly traditional machine learning, supe…”
Angelopoulos: Reinforcement learning allows AI models to surpass human teachers
“And supervised learning, you can only do as well as the best human that you have. Because what's happening is that you're learning from the teacher. In reinforcement learning, you're learning from the world. You're able to learn things better than the best hum…”
Jin: Supervised Learning Cannot Train Models by Demonstrating Bad Examples
“There's, like, a kind of deficit, which is, like, there's no way to demonstrate what is bad in supervised learning. You kind of just, you have to tell the model very well, like, what is good.”
Supervised learning on human games fails to produce expert players
“Like we also found in chess and go, we actually ran this experiment. If you do. Just pure supervised learning on a giant data set of human chess and go games. The bot that you get out from that is not an expert chess or go player. Even if it's like conditioned…”
LeCun: Supervised and reinforcement learning do not reflect biological learning
“The type of learning that we are currently able to reproduce in machine, which is supervised learning and reinforcement learning do not seem to Reflect what we observe in humans and animals. There is another type of learning, another paradigm of learning that …”
Clark: AI will continue to require supervised learning alongside unsupervised paradigms
“I think there's going to be need for all of it, to be honest. When it comes down to solving a very specific business problem like fraud detection, you don't want the algorithm to learn on its own. Just let a lot of fraud through as you slowly come up with an i…”
Zaremba: Supervised learning is the only ML paradigm ready for business
“So far the supervised learning paradigm is the only one that works so remarkably, remarkably well that it's ready to be applied in business applications. All other are not really there.”
Zaremba: Most business problems can be solved via supervised learning
“Majority of business problems can be framed as supervised learning, and therefore they can be solved with current techniques, as long as we have sufficient number of input examples and what we want to predict”
Wiggins: Supervised models beat clustering because errors are clear
“Working on, on supervised learning or predictive models to be reassuring because I know if I'm wrong. Whereas, you know, models where I'm clustering, I sort of never know at the end of the day, should I have clustered things a different way?”