What is the difference between machine learning vs data mining?
Answer / Anand Tiwari
Machine Learning and Data Mining are two distinct but related fields within the broader realm of artificial intelligence (AI).nData Mining is the process of discovering patterns in large datasets using statistical and mathematical techniques. It focuses on finding hidden relationships, anomalies, trends, and sequences in the data without needing to follow an explicit algorithm.nMachine Learning, on the other hand, involves training algorithms to make predictions or decisions based on past data. The goal is for these algorithms to learn patterns from the input data and use that knowledge to perform tasks such as classification, regression, or clustering.nIn short, Data Mining is more focused on discovering patterns and relationships within datasets while Machine Learning emphasizes the building of models capable of learning from and making predictions based on those patterns.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is root cause analysis?
Do you know what is kernel svm?
What is accuracy machine learning?
What is type I vs type ii error?
What is Rectified Linear Unit (ReLU) in Machine learning?
Tell us what's a fourier transform?
What is connectionist AI?
Explain Classification and Regression?
What are the similarities and differences between bagging and boosting in machine learning?
What is precision and recall?
What is Bayes theorem in artificial intelligence?
What is adagrad algorithm in machine learning?
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)