Top Recommended Programming Languages for AI

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If you’re interested in pursuing a career in artificial intelligence (AI), you’ll need to know how to code. But where do you start? What is the best programming language for AI? And what platforms should you begin with? This article will provide you with a high-level overview of the best programming languages and platforms for AI, as well as their key features.

As it turns out, there’s only a small number of programming languages for AI that are commonly used.

What Is Artificial Intelligence?

Best Programming Languages for AI Development

FAQs

Conclusion

What Is Artificial Intelligence?

Artificial intelligence is one of the most fascinating and rapidly growing fields in computer science. It’s already transforming the world around us as we speak. And it’s as hot a job market as you can get (see Gartner forecasts).

AI aims to create intelligent computer systems. It’s essentially the process of making a computer system that can learn and work on its own.

Machine learning (ML), on the other hand, deals with the methods and techniques used so that a computer system can “learn” how to perform certain tasks and even predict certain outcomes, without being explicitly programmed for it.

A (Very) Brief History of AI

The term “artificial intelligence” was first coined in 1956 by computer scientist John McCarthy, when the field of artificial intelligence research was founded as an academic discipline. In the years since, AI has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an “AI winter”), followed by new approaches, success and renewed funding.

For most of its history, AI research has been divided into subfields that often fail to communicate with each other. These sub-fields are based on technical considerations, such as particular goals, application domains (such as medicine and robotics), and/or particular implementation approaches (such as symbolic computation and connectionism).

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About the Author: V. Moss