正在加载视频...

视频加载失败

This is such a brilliant and succinct explanation of unsupervised learning

282,513 次观看 • 1 年前 •via X (Twitter)

10 条评论

maxwellsdemon⏳ 的头像
maxwellsdemon⏳1 年前

ilya shares the same thing in an interview with jensen Everyones betting on the Strong belief that compression will lead to unsupervised learning, no complex algo needed..just near ~lossless compression!

Rainmaker 的头像
Rainmaker2 年前

Can Reinforcement Learning beat the market? In this free Substack post I explore a trading strategy based on Q-learning that delivers market-beating returns on the Visa stock with much smaller drawdown. Full code and backtest is available for free. Check it out!

Sol K. Monroe 的头像
Sol K. Monroe1 年前

Sounds like quantum mechanics

xac 的头像
xac1 年前

Hutter was on this. See also

Guive Assadi 的头像
Guive Assadi1 年前

@pawtrammell weigh in

Johannes Schmidt 🌌👾 的头像
Johannes Schmidt 🌌👾1 年前

it's middle out after all

Adrian Scott | LLMs AI 的头像
Adrian Scott | LLMs AI1 年前

fully bayesian 🤠

Zeromick 的头像
Zeromick1 年前

Wow I finally learned what researchers are doing.

kai 的头像
kai1 年前

hallmark of great and deep understanding is the capacity to explain smth in a surprisingly simple way

Enrico Rossi 的头像
Enrico Rossi1 年前

So, its analogous to the principle of least time for light to travel, also known as Fermat's Principle, except for information as opposed to light. BASED.

相关视频