Predictive analytics uses machine learning to forecast future outcomes based on learned patterns in existing data.
3 Likes
Predictive analytics focuses on forecasting what will happen next, while machine learning provides the algorithms that detect patterns in large datasets. Together, they automate prediction - like customer churn or sales demand - without manual statistical modeling. ML improves prediction accuracy by continuously learning from new data.
2 Likes
Machine learning is a subset of predictive analytics, enhancing models through self-learning rather than fixed rules. Predictive analytics defines the business problem and interprets results, while ML handles model training and optimization. The combination supports more reliable and scalable forecasts.
1 Like