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Why is Python preferred for machine learning?

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  Python offers  concise and readable code . While complex algorithms and versatile workflows stand behind machine learning and AI, Python's simplicity allows developers to write reliable systems. ... Python code is understandable by humans, which makes it easier to build models for machine learning. Python is a more popular language over C++ for AI and leads with a 57% vote among developers. That is because  Python is easy to learn and implement . With its many libraries, they can also be used for data analysis. ... C++ also creates more compact and faster runtime code.

Why learn Java?

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  Java is very versatile as it is used for programming applications on the web, mobile, desktop, etc. using different platforms. Also, Java has many features such as dynamic coding, multiple security features, platform-independent characteristics, network-centric designing, etc. that make it quite versatile. Java is platform-independent as the Java source code is converted to byte code by the compiler which can then be executed on any platform using the Java Virtual Machine. Java is also known as a WORA (write once, run anywhere) language because it is platform-independent. Also, the development of most Java applications occurs in a Windows environment while they are run on a UNIX platform because of the platform-independent nature of Java.