Solution

Correct Option: Rule-based automation (D) involves predefined sets of rules, which is more typical of traditional automation systems, not AI/ML. AI/ML focuses on learning from data, not applying static rules. Why Other Options Are Wrong: A) Image recognition: AI/ML platforms like TensorFlow or PyTorch provide robust services for image recognition through deep learning models. B) Data cleaning: AI/ML tools assist in data cleaning, which is crucial for improving the quality of input data for model training. C) Predictive analytics: AI/ML platforms excel in predictive analytics, allowing users to make predictions based on historical data. E) Natural language processing: NLP is a core component of AI/ML, with applications  ranging from chatbots to sentiment analysis.