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雅思口語Part 2:學習人工智能需要掌握哪些知識?

2023/10/13 16:46:08來源:新航道作者:新航道

摘要:雅思口語Part 2:學習人工智能需要掌握哪些知識?

雅思口語Part 2:學習人工智能需要掌握哪些知識?

節目結合時事以及主流熱點
每期節目控制在3分鐘左右,碎片化學習
每周更新一期



本期節目話題背景
最近,有同學問了這樣一道題“Describe something you would like to learn in the future”。隨著科技的發展,人工智能成為了更多人關注的領域。因此在未來,我也想了解更多關于人工智能發展的知識。事實上,從自動駕駛汽車到醫療診斷的各個領域都涉及到了人工智能,人工智能也將徹底改變我們的生活和工作方式。這其中涉及到了哪些方面的知識呢?咱們一起來聊一聊吧~



許多人工智能算法都是基于數學和統計原理,如概率論和線性代數。因此,對這些概念有一個堅實的理解,可以幫助開發人員創建更高效和更準確的人工智能模型。

本期Part 2 話題
Describe something you would like to learn in the future
You should say:
What it is
How you would learn it
Where you would learn it
Why you would learn it
And what is difficult about learning it

本期節目話題參考文本
In the future I would like to learn more about Artificial Intelligence development. AI is a rapidly growing field involved in everything from self-driving cars to medical diagnosis, AI is poised to revolutionize the way we live and work. However, developing AI requires the mastery of difficult specialized computer coding skills that are not yet widely available. 
The first step in learning AI is to gain a solid foundation in programming. This involves understanding the basics of computer science, such as data structures, algorithms, and programming languages. Python is a popular language for AI development because it has many libraries and tools that are specifically designed for machine learning and deep learning.



Deep learning is a more advanced form of machine learning that uses neural networks to recognize patterns in data. Neural networks are modeled after the structure of the human brain and are capable of processing large amounts of data quickly and accurately. Learning how to develop deep learning models is a key skill for anyone interested in AI development.
In addition to programming and machine learning, understanding statistics and mathematics is also essential for AI development. Many AI algorithms are based on mathematical and statistical principles, such as probability theory and linear algebra. Having a solid understanding of these concepts can help developers create more efficient and accurate AI models.
AI majors are offered by many top universities such as Stanford and MIT. These would be my first choice for learning the skills necessary for AI development. There are also many online resources and courses available to help individuals learn AI. These resources range from introductory courses to advanced specializations, As AI continues to grow and evolve, there will likely be even more opportunities for individuals to learn and specialize in this exciting field.

Words & expressions in this episode
1.diagnosis n. 診斷;判斷
2.algorithm n. 運算法則;演算法;計算程序
3.evolve v. 逐漸形成/演化;進化

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