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

The article explores the evolution of the data scientist role across three generations of machine learning: traditional machine learning, deep learning, and large language models (LLMs). It highlights how each era has influenced the approach to problem-solving, with traditional methods focusing on feature engineering, deep learning enabling automated feature extraction, and LLMs facilitating natural language understanding and generation, thereby transforming the skill set and tools required for data scientists.