Sure, here is the text made more professional:
Artificial intelligence (AI) and machine learning (ML) are two closely related fields of computer science that deal with the creation of intelligent agents and the development of algorithms that can learn from data, respectively. While the terms are often used interchangeably, there are some important distinctions between the two.
**Artificial intelligence** is a broad field that encompasses all aspects of creating intelligent agents, which are systems that can reason, learn, and act autonomously. AI research has been highly successful in developing a wide range of intelligent systems, including expert systems, natural language processing systems, and computer vision systems.
**Machine learning** is a subset of AI that deals with the development of algorithms that can learn from data. Machine learning algorithms are typically trained on large datasets of labeled data, and they can then be used to make predictions or decisions about new data. Some common machine learning algorithms include decision trees, support vector machines, and neural networks.
The main difference between AI and ML is that AI is a broader field that encompasses all aspects of creating intelligent agents, while ML is a more specific field that deals with the development of algorithms that can learn from data.
**How are AI and ML related?**
AI and ML are closely related because ML is a key technique that is used in AI research. Many AI systems use ML algorithms to learn from data and improve their performance over time. For example, a self-driving car might use ML algorithms to learn how to navigate a road safely.
In addition, ML is often used to create new AI applications. For example, ML algorithms have been used to develop new spam filters, product recommendations, and fraud detection systems.
**Conclusion**
AI and ML are two important fields of computer science that are rapidly evolving. ML is a key technique that is used in AI research, and it is also used to create new AI applications. As ML continues to develop, we can expect to see even more innovative AI systems in the future.
I hope this is more professional. Please let me know if you have any other questions.