Artificial intelligence (AI) and machine learning (ML) have become integral components of modern technology, revolutionising industries and improving various aspects of our lives. AI/ML technologies enable computers to learn from data, recognise patterns, and make decisions with minimal human intervention.
From personalised recommendations on streaming platforms to autonomous vehicles, AI/ML is driving innovation and transforming the way we interact with technology.
Open source languages like Python, R, and Julia are vital in AI/ ML development, offering accessible tools and frameworks for sophisticated models. Their availability fosters collaboration and innovation in the developer community, supported by their ease of use, rich libraries, and active community, making them ideal for AI/ML projects.
Overview of open source languages for AI/ML
Choosing the right programming language is crucial for AI/ML projects as it determines the ease of development, performance, and compatibility with existing systems. Factors to consider include the language's suitability for data manipulation, availability of libraries/frameworks, and community support.
The main open source languages used in AI/ML development are listed above.
Python for AI/ML Python has become one of the most popular programming languages for AI/ ML development due to its simplicity, readability, and the availability of a vast array of libraries and frameworks tailored for machine learning tasks. Its versatility and ease of use have made it a preferred choice for both beginners and experienced developers in the AI/ ML community.
Key Python libraries and frameworks for AI/ML are briefly described below.
This story is from the April 2024 edition of Open Source For You.
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This story is from the April 2024 edition of Open Source For You.
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