雅思口语Part 2：描述某个你将来想学习的东西——学习人工智能需要掌握哪些知识？

　　雅思口语Part 2：描述某个你将来想学习的东西——学习人工智能需要掌握哪些知识？节目结合时事以及主流热点，每期节目控制在3分钟左右，碎片化学习，每周更新一期。

　　本期节目话题背景

　　最近，有同学问了这样一道题“Describe something you would like to learn in the future”。随着科技的发展，人工智能成为了更多人关注的领域。因此在未来，我也想了解更多关于人工智能发展的知识。事实上，从自动驾驶汽车到医疗诊断的各个领域都涉及到了人工智能，人工智能也将彻底改变我们的生活和工作方式。这其中涉及到了哪些方面的知识呢?咱们一起来聊一聊吧~

　　许多人工智能算法都是基于数学和统计原理，如概率论和线性代数。因此，对这些概念有一个坚实的理解，可以帮助开发人员创建更高效和更准确的人工智能模型。

　　本期Part 2 话题

　　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

　　本期节目话题参考文本

　　作者：Stephen

　　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. 诊断;判断

　　2.algorithm n. 运算法则;演算法;计算程序

　　3.evolve v. 逐渐形成/演化;进化

　　外教原声音频

　　Episode 16音频：

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