Data science is a broader field that encompasses the entire process of collecting, analyzing, and interpreting data. It involves using statistical methods, machine learning, and other techniques to extract insights from data.
Machine learning
Machine learning is a subset of data science that focuses on the development of algorithms that can learn from data. These algorithms can be used to make predictions, classify data, or perform other tasks.
Here is a table that summarizes the key differences between data science and machine learning:
Definition
Data Science
The field of study that deals with the collection, analysis, and interpretation of data
Machine Learning
The field of study that gives computers the ability to learn without being explicitly programmed
VS
Focus
Data Science
The entire process of working with data
Machine Learning
The development of algorithms that can learn from data
VS
Techniques
Data Science
Statistics, machine learning, data mining, visualization