What is Data Science?
Data science is a popular discipline that deals with the extensive volume of data using contemporary tools and strategies to discover meaningful data and information and make business decisions. Data science utilises complex machine learning algorithms to create models.
This popular discipline is majorly utilised by the companies like Airlines, Healthcare Sectors, Amazon, Netflix, and more.
What is Machine Learning?
Machine learning is a well-known branch of artificial intelligence, which facilitates machines to understand and learn from happenings and knowledge.
Difference between Data Science and Machine Learning
| S.No. | Data Science | Machine Learning |
| 1. | It deals with learning and understanding the useful insights from the data, which later on help in making wiser business decisions. | Machine learning is a subfield of data science that allows the machine to understand previous incidents automatically. |
| 2. | Data science is utilised for finding insights from the data. | Machine learning is utilised for categorising the result for new data points. |
| 3. | Data scientists put lots of effort and time into managing, understanding and cleansing the data. | Machine learning professionals put a lot of effort and time into handling the intricacies that occur during the execution of algorithms. |
| 4. | It is discipline that deals with data. | It utilises data science methods to understand and learn about the data. |
| 5. | Data science focuses on data processing, along with algorithms and statistics. | Machine learning only concentrates on algorithm statistics. |
| 6. | Examples of data science are Amazon, Netflix, etc. | An example of machine learning is Facebook. |
Keep learning and stay tuned to get the latest updates on GATE Exam along with GATE Eligibility Criteria, GATE 2023, GATE Admit Card, GATE Application Form, GATE Syllabus, GATE Cut off, GATE Previous Year Question Paper, and more.
Also Explore,
Comments