This white paper, adapted from a webinar on data science and machine learning in Java, outlines key applications of data science and explains core concepts such as machine learning, deep learning, data engineering and data science. It highlights why Java is an effective choice for both production and research workflows in these fields. Many common data science applications—including predictive analytics, recommendation systems and anomaly detection—are well‑established, as are foundational AI methods like neural networks. Java’s performance, stability and ecosystem make it a strong option for building scalable, reliable data‑driven systems.

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