algorithmic

简明释义

英[ˈælɡəˌrɪðəmɪk]美[ˌælɡəˈrɪðəmɪk]

adj. [数] 算法的；规则系统的

英英释义

单词用法

同义词

反义词

例句

1.Most of the algorithmic effort in the development of ICM RME was invested in how to automatically create and tune classifiers.

在开发ICMRME时，大多数算法开发工作集中在如何自动地对分类器进行创建和调优。

2.Dynamic programming is an algorithmic technique used commonly in sequence analysis.

动态编程是在序列分析中经常使用的一种算法技术。

3.Algorithmic music composition is the application of a rigid, well-defined algorithm to the process of composing music.

算法作曲将严格的、定义良好的算法应用到作曲过程中。

4.Algorithmic curation is another lens through which information like the news is filtered.

算法内容管理是另外一种镜头，诸如新闻这样的信息可以被过滤。

5.Metaphone matching is an algorithmic method for generating keys based on the phonetic pronunciation of words.

变音位匹配是根据查询词的语音发音生成关键字的算法方法。

6.Use these methods to write an algorithmic method solveMaze that implements the right-hand rule.

使用这些方法来完成一个算法solveMaze实现右手法则。

7.How might algorithmic composition technology change the face of music?

算法作曲的出现将会如何改变音乐的面貌呢？

8.In a sense, though, software does ask questions, at least in the algorithmic sense.

尽管在某种意义上，软件也不会提出任何质疑，至少在排产的算法上不会有什么问题。

9.The algorithmic 算法的 analysis of big data can reveal hidden patterns and trends.

对大数据的算法的分析可以揭示隐藏的模式和趋势。

10.The new app uses algorithmic 算法的 trading strategies to maximize profits.

这个新应用使用算法的交易策略来最大化利润。

11.In the field of finance, algorithmic 算法的 risk assessment is crucial for investment decisions.

在金融领域，算法的风险评估对投资决策至关重要。

12.Researchers are exploring algorithmic 算法的 solutions for optimizing traffic flow in cities.

研究人员正在探索算法的解决方案，以优化城市交通流量。

13.Many social media platforms rely on algorithmic 算法的 recommendations to suggest content to users.

许多社交媒体平台依赖于算法的推荐系统向用户建议内容。

作文

In the modern world, technology plays a crucial role in shaping our daily lives. One of the most significant advancements in this field is the development of algorithmic processes that drive various applications and systems. Understanding what algorithmic means is essential for anyone interested in technology, data science, or artificial intelligence. Algorithmic refers to anything related to algorithms, which are step-by-step procedures or formulas for solving problems. These algorithms are fundamental to computer programming and data analysis, as they provide a structured way to process information and make decisions based on that data.The impact of algorithmic methods can be seen in numerous areas, from social media platforms to financial markets. For instance, when you scroll through your social media feed, you may notice that certain posts appear more frequently than others. This is due to algorithmic sorting techniques that analyze user behavior and preferences to present the most relevant content. These algorithms take into account various factors such as likes, shares, and comments to curate a personalized experience for each user.Moreover, the use of algorithmic strategies extends beyond social media. In the realm of finance, stock trading has been revolutionized by algorithmic trading systems that execute orders at high speeds based on predetermined criteria. These systems analyze vast amounts of data and market trends to make split-second decisions, often resulting in increased efficiency and profitability for traders. The algorithmic approach allows for real-time data processing, enabling traders to capitalize on fleeting opportunities in the market.Education is another area where algorithmic thinking is becoming increasingly important. With the rise of online learning platforms, educators are beginning to incorporate algorithmic principles into their curricula. Students are taught how to break down complex problems into smaller, manageable steps, mirroring the way algorithms function. This not only enhances their problem-solving skills but also prepares them for future careers in fields that rely heavily on algorithmic logic, such as computer science and engineering.However, the growing reliance on algorithmic systems also raises ethical considerations. As algorithms become more integrated into our lives, questions arise regarding privacy, bias, and accountability. For example, if an algorithmic system makes a decision that negatively impacts an individual, who is responsible? Furthermore, algorithms can inadvertently perpetuate biases if they are trained on flawed data, leading to unfair outcomes in areas like hiring or law enforcement.To navigate these challenges, it is crucial for society to develop a deeper understanding of algorithmic processes and their implications. This includes fostering discussions about transparency in algorithm design and implementing regulations that ensure fairness and accountability. By doing so, we can harness the power of algorithmic technologies while minimizing potential harms.In conclusion, the term algorithmic encompasses a wide range of applications and implications in our technology-driven world. From enhancing user experiences on social media to transforming financial markets and education, algorithmic processes are integral to modern life. However, as we continue to integrate these systems into our daily routines, it is essential to remain vigilant about the ethical challenges they present. By understanding and addressing these issues, we can ensure that the benefits of algorithmic innovations are realized while safeguarding against their potential risks.

在现代世界中，技术在塑造我们的日常生活中发挥着至关重要的作用。这个领域最重要的进展之一是开发了驱动各种应用和系统的算法的过程。理解算法的含义对于任何对技术、数据科学或人工智能感兴趣的人来说都是必不可少的。算法的指的是与算法相关的任何事物，算法是解决问题的逐步程序或公式。这些算法是计算机编程和数据分析的基础，因为它们提供了一种结构化的方法来处理信息并根据这些数据做出决策。算法的方法的影响可以在许多领域看到，从社交媒体平台到金融市场。例如，当您浏览社交媒体动态时，您可能会注意到某些帖子比其他帖子出现得更频繁。这是因为使用了算法的排序技术，这些技术分析用户行为和偏好，以呈现最相关的内容。这些算法考虑了诸如点赞、分享和评论等各种因素，以为每个用户策划个性化的体验。此外，算法的策略的使用超越了社交媒体。在金融领域，股票交易因算法的交易系统而发生了革命，这些系统根据预定标准以高速执行订单。这些系统分析大量数据和市场趋势，以便做出瞬间的决策，通常导致交易者的效率和盈利能力提高。算法的方法允许实时数据处理，使交易者能够利用市场上稍纵即逝的机会。教育是另一个越来越重视算法的思维的领域。随着在线学习平台的兴起，教育工作者开始将算法的原则纳入他们的课程中。学生们被教导如何将复杂问题分解成更小、可管理的步骤，这与算法的运作方式相似。这不仅增强了他们的问题解决能力，还为他们未来在依赖于算法的逻辑的领域（如计算机科学和工程）中的职业生涯做好了准备。然而，对算法的系统日益依赖也引发了伦理问题。随着算法越来越多地融入我们的生活，关于隐私、偏见和问责制的问题随之而来。例如，如果一个算法的系统做出了对个人产生负面影响的决定，那么谁应为此负责？此外，如果算法在有缺陷的数据上进行训练，可能无意中延续偏见，导致在招聘或执法等领域出现不公平的结果。为了应对这些挑战，社会必须深入理解算法的过程及其影响。这包括促进关于算法设计透明度的讨论，并实施确保公平和问责制的法规。通过这样做，我们可以利用算法的技术的力量，同时尽量减少潜在的危害。总之，算法的一词涵盖了我们技术驱动的世界中广泛的应用和影响。从增强社交媒体上的用户体验到转变金融市场和教育，算法的过程是现代生活不可或缺的一部分。然而，随着我们继续将这些系统纳入我们的日常生活，保持警惕关于它们所带来的伦理挑战是至关重要的。通过理解和应对这些问题，我们可以确保实现算法的创新的好处，同时保护自己免受潜在的风险。