AI Triad Components: Algorithms, Data, and Computing Power

Machine learning systems rely on algorithms, data, and computing power. Algorithms govern how information is processed and decisions are made, with common classes like supervised, unsupervised, and reinforcement learning. Data, crucial for machine learning, empowers systems when vast and representative. Computing power, increasingly vital, has seen remarkable growth in recent years, impacting system performance and development costs.