Comparision between Machine Learning and Big Data?
Answer / Deepak Verma
Machine Learning is a subset of Artificial Intelligence that uses statistical techniques to enable machines to learn from data. Big Data, on the other hand, refers to extremely large datasets that may be analyzed computationally to reveal patterns, trends, and associations. Machine Learning relies on Big Data to train models, making accurate predictions, and improving performance.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is collaborative filtering in machine learning?
Which is best language for machine learning?
How to handle missing data in a dataset in Machine Learning?
What is convergence in machine learning?
What is the difference between supervised and unsupervised learning?
What is the benefit of naïve bayes mcq?
Explain the bias-variance tradeoff.
Tell me how is knn different from k-means clustering?
How do deductive and inductive machine learning differ?
How is knn different from k-means?
Please, State Few Popular Machine Learning Algorithms?
What do you understand by the confusion matrix?
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)