Applications of ML

Computer vision: image classification, face recognition, medical image analysis (detecting tumours in scans), self-driving perception, quality inspection on factory lines.

Natural language: machine translation, chatbots and assistants, sentiment analysis, document summarisation, speech recognition and text-to-speech.

Recommendation and ranking: what to watch, read or buy next; search engine ranking; ad targeting. These systems learn from billions of clicks and are among the most commercially important uses of ML.

Finance and business: credit scoring, fraud detection, algorithmic trading, demand forecasting, customer churn prediction. Healthcare and science: drug discovery, protein structure prediction, epidemic modelling, climate and weather forecasting, particle physics.