Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are designed to think, learn, and solve problems like humans. AI enables computers and systems to perform tasks that typically require human intelligence,
Machine Learning (ML) is a subset of Artificial Intelligence (AI) that enables computers to learn and improve from experience without being explicitly programmed Data: ML models learn from large datasets to identify patterns. Algorithms: Mathematical models are used to analyze and learn from data. Training: Feeding data into an ML model so it can learn patterns. Prediction/Inference: Using the trained model to make predictions on new data. Evaluation: Assessing the model's accuracy and effectiveness.
Blockchain is a decentralized digital ledger that records transactions across multiple computers in a way that ensures transparency, security, and immutability. It’s commonly associated with cryptocurrencies like Bitcoin and Ethereum, but its applications extend far beyond digital currencies.
