朱迪亞·珀爾
概率推理和因果推理的先驅(qū)
The causal model is the key to making sense of the world.
因果模型是理解世界的關(guān)鍵。
The causal revolution is about giving machines the ability to reason about the world as we do.
因果革命是關(guān)于賦予機器像我們一樣推理世界的能力。
The causal perspective is the key to unlocking the mysteries of the universe.
因果視角是解開宇宙之謎的關(guān)鍵。
The causal approach is about understanding the mechanisms that generate the data.
因果方法在于理解生成數(shù)據(jù)的機制。
The causal framework is the foundation of scientific reasoning.
因果框架是科學(xué)推理的基礎(chǔ)。
The causal revolution is not just about AI; it's about rethinking how we understand the world.
因果革命不僅僅是關(guān)于人工智能；它是關(guān)于重新思考我們?nèi)绾卫斫馐澜纭?/div>
The key to solving complex problems is to ask the right causal questions.
解決復(fù)雜問題的關(guān)鍵是提出正確的因果問題。
The causal lens transforms data into knowledge.
因果視角將數(shù)據(jù)轉(zhuǎn)化為知識。
The power of causal reasoning is that it allows us to predict the effects of actions we have never taken.
因果推理的力量在于它允許我們預(yù)測我們從未采取的行動的效果。
The causal model is the bridge between data and decision-making.
因果模型是數(shù)據(jù)與決策之間的橋梁。