<human>:  Can you explain the differences between Data Analytics and Machine Learning?
<bot>: Data analytics is the process of analyzing data to uncover insights that help businesses make decisions. It involves collecting data from multiple sources and using statistical and mathematical techniques to extract meaningful information from it. Machine learning is a subset of artificial intelligence that focuses on using algorithms to build models that can accurately predict outcomes based on data. It involves creating algorithms that are able to learn patterns and trends in data, allowing machines to autonomously make decisions without external input. Whereas data analytics requires manual input and interpretation, machine learning is able to independently create models which enable it to automatically draw insights.