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      • : a finding out of the best way to reach a desired result or a correct solution by trying out one or more ways or means and by noting and eliminating errors or causes of failure also : the trying of one thing or another until something succeeds
      www.merriam-webster.com/dictionary/trial and error
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  2. 2024年6月7日 · Trial and Error」簡單用中文解釋的話就是「嘗試和錯誤」、「反覆嘗試」或稱「試錯法」等。 在試圖解決問題時,嘗試使用各種方法,並在不斷失敗的過程中找到解決方案,人們就用「Trial and Error」來表示,特別常見於商務場合。 讓我們更深入地了解「trial and error」所表示的意義,以便正確理解並得以在對的時機使用。 劍橋英語辭典中對「trial and error」的定義如下: a way of achieving an aim or solving a problem by trying a number of different methods and learning from the mistakes that you make:

  3. 2024年6月8日 · The meaning of TRIAL AND ERROR is a finding out of the best way to reach a desired result or a correct solution by trying out one or more ways or means and by noting and eliminating errors or causes of failure; also : the trying of one thing or another until something succeeds.

  4. 2024年6月18日 · Trial and Error: Trial and error is a problem-solving strategy that involves attempting different solutions until the correct one is found.

  5. 2024年6月9日 · Machine learnings trial-and-error learning process involves adjusting itself by constantly testing new data against its corpus and making modifications based on established patterns. Let’s break down the options:

  6. 4 天前 · Maximilian Du, Alexander Khazatsky, Tobias Gerstenberg, Chelsea Finn. When faced with a novel scenario, it can be hard to succeed on the first attempt. In these challenging situations, it is important to know how to retry quickly and meaningfully. Retrying behavior can emerge naturally in robots trained on diverse data, but such robot policies ...

  7. Trial and Error in Problem sets. CS50x. I'm in week 3 problem set runoff, I'm halfway solving the problem according to cs50 check. Out of the correct test mostly were done by trial and error method. Is this correct way of solving a problem ?

  8. 2024年6月11日 · Learn about reinforcement learning, a powerful AI technique where systems learn through trial and error to maximize rewards. Prepare for the IBM AI

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