Artificial Intelligence (AI) and Machine Learning (ML) are highly prioritized fields in Vietnam as well as in many developed countries around the world. If you are interested in these fields, there are many language options available for you to start with.
Moreover, you need to have a strategy to choose the language that best meets your needs and helps secure your future in the AI and ML fields. Let’s explore the top five languages that are paving the way for these two fields.
1. Python
Python is the most important language used in the field of AI and Machine Learning. It is a simple programming language that has become the language of choice for AI.
Compared to other languages, Python is quicker to learn and reduces the development time required, while also supporting object-oriented, functional, and procedural programming. Many people choose to start with this language due to its popularity.
Python has a vibrant support community, making it easy to find online tutorials, courses, forums, support groups, etc., which help you master the knowledge and apply it proficiently.
2. R
R is a popular choice for statistical data analysis, manipulation, and evaluation. Although R is best known as a general-purpose programming language, some available packages make R particularly suitable for machine learning and AI.
These include RODBC, Gmodels, Class, and Tm. These packages simplify the implementation of machine learning algorithms, especially for business-oriented problems. While they may be somewhat complex for beginners, they are very helpful when applied to AI.
3. Lisp
Lisp has played an important role in AI and machine learning since its creation in 1958. It is the language developed and used by the father of AI, John McCarthy.
Lisp has several advantages that make it well-suited for AI, such as its excellent prototyping capabilities and support for symbolic expressions. It is a powerful programming language used in major AI projects like Macsyma, DART, and CYC.
Lisp is largely used in the Machine Learning/ILP sub-field due to its symbolic structure and its versatility.
4. Prolog
Prolog is one of the programming languages that has several basic mechanisms extremely useful in AI programming.
For example, it offers pattern matching, automatic backtracking, and tree-based data structuring mechanisms.
Combining these mechanisms provides a flexible framework for your work. Prolog is widely used in AI expert systems and is also very useful in implementing medical projects.
5. Java
Java is also an excellent choice. It is an object-oriented programming language that focuses on providing high-level features necessary for executing AI projects. It is portable and has built-in garbage collection.
The Java community is another plus because whenever you have any questions or issues, many people can assist you.
Due to Java’s ease of use and ease of debugging, it allows for the creation of a flexible working environment that can make AI programming easier.
Its comprehensive services and graphical representation capabilities can also help create a simpler workflow for large-scale projects. Java may be the best choice when an attractive graphical interface is key to a project’s success.
Source: itwork.vn; tma.vn
