Data Science vs. Machine Learning: The Great Debate

Difference Between Data Science And Machine Learning

Data science is a field of study that covers the application of data analysis and modelling techniques to solve business problems.

Machine learning is a subset of data science that applies algorithms to learn from datasets.

Here are 10 key differences between data science and machine learning:

1. Data science and machine learning are often used interchangeably, but there are key differences between the two fields.

Data science is more focused on extracting knowledge and insights from data, while machine learning is focused on teaching machines to learn from data.

Data science relies heavily on statistics and mathematical models to analyse data, while machine learning uses algorithms to identify patterns in data.