--- Here are a few reasons why Java remains relevant for AI and ML development: Platform Independence: Java's “Write Once, Run Anywhere” nature allows developers to build AI/ML applications that can run on any platform with a Java Virtual Machine (JVM), making it a suitable choice for cross-platform projects. Performance: Java’s performance is a key advantage, especially in large-scale systems that require high throughput. The JVM optimizes the execution of code at runtime, enabling efficient use of resources in memory-intensive tasks like training machine learning models. Scalability: Java is well-known for its scalability, making it ideal for large-scale machine learning systems that need to handle large datasets or deploy models across distributed architectures. Integration: Java is a great fit for enterprises that rely on existing Java-based systems and want to integrate AI/ML capabilities without introducing a new tech stack. Java Classes in Pune. https://www.sevenmentor.com/java-training-classes-in-pune.php