S.No |
Data Science |
Machine Learning |
1. |
Data Science is a field about processes and systems to
extract data from structured and semi-structured data. |
Machine Learning is a field of study that gives
computers the capability to learn without being explicitly programmed. |
2. |
Need the entire analytics universe. |
Combination of Machine and Data Science. |
3. |
Branch that deals with data. |
Machines utilize data science techniques to learn about
the data. |
4. |
Data in Data Science maybe or maybe not evolved from a
machine or mechanical process. |
It uses various techniques like regression and
supervised clustering. |
5. |
Data Science as a broader term not only focuses on
algorithms statistics but also takes care of the data processing. |
But it is only focused on algorithm statistics. |
6. |
It is a broad term for multiple disciplines. |
It fits within data science. |
7. |
Many operations of data science that is, data gathering,
data cleaning, data manipulation, etc. |
It is three types: Unsupervised learning, Reinforcement
learning, Supervised learning. |
8. |
Example: Netflix uses Data Science technology. |
Example: Facebook uses Machine Learning technology. |
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