addle，发音为['?d(?)l]，是一个英语单词，主要用作名词和动词。
基础释义：
名词：骚乱；混淆；乳酪状物
动词：使混乱；使变坏；使变酸
英语范文：
以“如何避免混淆”为题，写一篇短文。在文章中，我们可以讨论如何有条理地组织信息，以及如何使用记忆技巧来帮助我们记住重要的信息。这样可以避免在处理复杂任务时陷入addling的混乱状态。
音标和基础释义：N/V [以音标为例]
[?'d(?)l]：动词，使变酸。在句子中，可以表示为“使变酸”或“使变坏”。例如，“这个食物已经addled，不能再吃了。”
[?'d(?)l?f]：名词，乳酪状物。在句子中，可以表示为“乳酪”或“酸奶酪”。例如，“我喜欢吃addled鸡蛋和酸奶酪。”
以上就是关于“addle”的一些基本释义和用法，希望对你有所帮助。
关于"addle"的英语范文
标题：如何避免陷入无谓的困扰
在现代社会，我们经常会遇到各种困扰和压力，有些甚至会影响我们的生活和工作。其中，"addle"这个词组，虽然听起来不太雅观，但却常常出现在我们的生活中。那么，如何避免陷入无谓的困扰呢？
首先，"addle"指的是一种无谓的烦恼和困扰，通常是由于过度关注琐碎的事情而导致的。如果我们能够保持一颗平常心，不过度纠结于细节，就能够避免很多不必要的困扰。
其次，"addle"也指一种无谓的焦虑和担忧，这种情绪常常是由于对未知的恐惧和不安全感所导致的。如果我们能够勇敢面对未知，积极寻求解决问题的方法，就能够摆脱这种焦虑和担忧。
因此，我们应该学会保持一颗平常心，不过度纠结于细节，同时也应该勇敢面对未知，积极寻求解决问题的方法。只有这样，我们才能够避免陷入"addle"的困扰，过上更加轻松、愉悦的生活。
最后，让我们用一句话总结："不要让琐碎的事情成为你的困扰，不要让未知成为你的焦虑，保持一颗平常心，你就能过上更加美好的生活。"
以上就是关于"addle"这个单词或词组的英语范文，希望能够对您有所帮助。
"Aaddle" is a term used in machine learning to describe the process of adding new data or features to a dataset. It is often used in conjunction with other machine learning frameworks such as PyTorch and TensorFlow. In terms of its pronunciation, the "a" sound at the beginning is slightly nasalized, and the "dell" sound is pronounced with a slightly open mouth.
Here's an example of an essay on the topic of "Aaddle":
Title: Adding Data to a Dataset
Once you have a dataset, the next step is to add new data or features to it. This process is known as "Aaddle," and it can be a crucial step in improving the accuracy and performance of your machine learning models.
One of the benefits of Aaddle is that it allows you to incorporate new information that may not have been included in the original dataset. This can be particularly useful when dealing with new or unforeseen situations that require adapting your model to handle.
However, it's important to note that Aaddle isn't just about adding more data. It's also about ensuring that the new data is properly labeled and formatted, and that it's consistent with the rest of the dataset. Otherwise, it could introduce noise or bias into your model, which could negatively impact its performance.
In conclusion, Aaddle is an essential part of machine learning, and it can be a powerful tool for improving the accuracy and performance of your models. By incorporating new data or features into your dataset, you can help your model adapt to new situations and handle unforeseen challenges.
