The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or a LLM (Explained with One Example)

The article titled 'The Three Ages of Data Science' explores how the role of data scientists has evolved through three generations of machine learning: traditional machine learning, deep learning, and large language models (LLMs). It emphasizes a practical use case that illustrates these changes, underscoring the necessity for data scientists to adapt their skills and approaches to keep pace with rapid technological advancements. As machine learning techniques have progressed, the expectations and responsibilities of data scientists have also transformed, making it crucial for professionals in the field to understand when to apply each method effectively. This evolution not only impacts individual careers but also shapes the future of data-driven decision-making across industries.