Machine Learning (ML) is a type of artificial intelligence (AI) that helps computers learn from data and make smarter decisions over time—without needing to be programmed for every single task. Instead of following a fixed set of rules, ML systems recognize patterns in data and use that knowledge to make predictions or take action.
Machine Learning (ML) Defined
How to Use it in a Sentence
Machine learning can help personalize content for each user based on their behavior.
Common Machine Learning FAQs
AI is the broader concept of machines being able to carry out tasks in a smart way. Machine learning is a subset of AI that focuses on systems learning from data without being explicitly programmed.
Not anymore. Many platforms and tools now make machine learning accessible to marketers, product teams, and business users—no coding required.
Common examples include personalized recommendations, predictive search, spam filtering, chatbots, and even optimizing push notification timing.
Machine learning can analyze user behavior, such as clicks, opens, and past purchases, to automatically tailor subject lines, content, and timing. The result is more relevant emails and better engagement.
Yes, machine learning can aid in content creation by analyzing successful content patterns and suggesting topics or formats that resonate with target audiences. It can also help in generating initial drafts and optimizing content for better performance.