What are the main advantages and disadvantages of Machine Learning?

Machine Learning offers powerful capabilities but comes with significant challenges that must be considered in implementation.\n\n• Advantages: Handles complex patterns, improves with data, automates decisions, scales efficiently\n• Disadvantages: Requires large datasets, black-box models, prone to bias, computationally expensive\n• Data dependency: Quality and quantity of data directly impact performance\n• Interpretability: Complex models may lack explainability\n\nExample: ML excels in image recognition (advantage) but may discriminate against certain groups if training data is biased (disadvantage). Medical diagnosis benefits from accuracy but requires explainable decisions.