Explain the difference between data science, machine learning and artificial intelligence?
- 1 Answers
- 399 Views
- I also Faced
- E-Mail Answers
Answer / Nikhil Arya
Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Machine Learning (ML) is a subset of Data Science, which focuses on the development of computer programs that can learn from data without being explicitly programmed. Artificial Intelligence (AI) is a broader concept that refers to machines or software exhibiting intelligence comparable to or exceeding human intelligence.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain the difference between sas, r and python programming?
Why is dimensional reduction performed before fitting a support vector machine (svm)?
Can you explain data cleansing?
What are the steps involved in analytics projects?
How many big Macs does McDonald sell every year in US?
Differentiate between skewed and uniform distribution?
What does Machine Learning mean for the Future of Data Science?
What is the science of data in simple words?
Discuss linear regression?
Different between overfitting and underfitting?
What is meant by classical ANOVA?
Explain the differences between univariate and bivariate analysis?
-
AI Algorithms (74) - AI Natural Language Processing (96)
- AI Knowledge Representation Reasoning (12)
- AI Robotics (183)
- AI Computer Vision (13)
- AI Neural Networks (66)
- AI Fuzzy Logic (31)
- AI Games (8)
- AI Languages (141)
- AI Tools (11)
- AI Machine Learning (659)
- Data Science (671)
- Data Mining (120)
- AI Deep Learning (111)
- Generative AI (153)
- AI Frameworks Libraries (197)
- AI Ethics Safety (100)
- AI Applications (427)
- AI General (197)
- AI AllOther (6)
