Machine learning, a subset of AI, allows systems to learn and improve by processing data, with roots tracing back to the 1940s and 50s.
Deep learning, relying on Artificial Neural Networks, mimics the human brain structure to analyze complex patterns, commonly used in facial recognition.
Data serves as the fuel for AI systems, crucial for training models and their performance, emphasizing the importance of quality and quantity of data.
In AI, feeding data is akin to fueling a car, initiating processing similar to engine ignition, resulting in the system producing content after analyzing patterns iteratively.