Predictive analytics uses statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. This can be used for forecasting sales, predicting customer behavior, and optimizing business processes.
Machine learning involves training computer systems to learn from data and make predictions or decisions without being explicitly programmed. This includes techniques such as supervised learning, unsupervised learning, and reinforcement learning.
Big data analytics involves analyzing and deriving insights from extremely large and complex data sets that exceed the capabilities of traditional data processing applications. This often involves distributed computing frameworks and specialized tools for processing and analyzing big data.