What is the difference between Data Mining and Machine Learning?
When it comes to data mining, it refers to the extraction of the knowledge from a large amount of data. This process is such that it helps in discovering the types of patterns that are present in the data. The presence of Neural network in Data mining is said to be very accurate as well as useful.
But when it comes to the Data Mining and Machine Learning, then there is much difference between them both. They are mentioned below.
Difference between them.
1. When it comes to the Neural network in Data mining, it is seen that this use two component. The first one is the database while the second one is machine learning. But when it comes to machine learning, it uses algorithms.
2. In Data mining, it uses more data to extract the information and to predict the future while machine learning is used in the calculation process.
3. Data mining is not good for self-learning, while machine learning is said to provide the learning algorithms and they are self-defined too in nature.
4. Data mining prediction is said to be not working if there is no human intervention done. While in machine learning, no human intervention is required for the prediction process.
5. The result of machine learning is more precise and accurate than the result that is produced by data mining.
6. Data mining usually uses the database server to get the information while the machine learning process uses the neural networks.