Why Machines Learn

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An invaluable companion for anyone seeking a deep understanding of the mathematics behind complex machines, this narrative explains the math that has fueled machine learning and the rapid growth of artificial intelligence. Machine-learning systems now make critical decisions in our lives, from approving mortgage loans to diagnosing tumors and influencing scientific discoveries in various fields, including chemistry and physics. We are in the midst of an AI revolution, driven by foundational mathematics like linear algebra and calculus, some of which dates back centuries. By the mid-1850s, much of the essential groundwork was established. However, it wasn't until the advent of computer science and the development of 1990s video game chips that AI truly began to flourish. This enlightening exploration reveals the fundamental mathematics behind AI, suggesting that both natural and artificial intelligence may operate under similar mathematical principles. Ultimately, the author emphasizes that to fully harness the potential of our advanced technologies, we must also grasp their inherent limitations, which are illuminated by the very mathematics that enables AI.