Artificial Intelligence and Machine Learning for Data Engineers: What It Actually Is, How Companies Use It, and the Complete Introduction Before You Touch an Algorithm
The complete AI and ML introduction for data engineers — not hype, reality. AI vs ML vs DL vs GenAI hierarchy, supervised vs unsupervised vs reinforcement learning, classification vs regression with decision framework, every traditional ML algorithm and deep learning algorithm with analogies, real-world ML use cases across 6 industries, the ML project lifecycle, where data engineers fit, feature engineering as the bridge, and the complete learning path forward.