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In data mining, we can use machine learning (ML) (with the help of unsupervised learning algorithms) to recognize patterns.

Pattern recognition is a process of recognizing patterns such as images or speech. We can recognise patterns using ML. For example, once a neural net is trained, using ML algorithms, it can be used for pattern recognition. Other methods, even ones not related to ML and data mining, can be used for pattern recognition, such as a fully handcrafted pattern recognition system.

To add on

1. data mining is mostly associated with statisticians
2. ML is mostly associated with computer scientists whereas
3. pattern recognition is mostly associated with engineers

In data mining, we can use machine learning (ML) (with the help of unsupervised learning algorithms) to recognize patterns.

Pattern recognition is a process of recognizing patterns such as images or speech. We can recognise patterns using ML. For example, once a neural net is trained, using ML algorithms, it can be used for pattern recognition. Other methods, even ones not related to ML and data mining, can be used for pattern recognition, such as a fully handcrafted pattern recognition system.

In general,

1. data mining is mostly associated with statisticians,
2. ML is mostly associated with computer scientists whereas,
3. pattern recognition is mostly associated with engineers.

With the help of machine learning (ML) we can achieve pattern recognition. In data mining, we can use ML to recognize patterns with the help of unsupervised learning algorithms.

To add on

1. data mining is mostly associated with statisticians
2. ML is mostly associated with computer scientists whereas
3. pattern recognition is mostly associated with engineers

Pattern recognition is a process of recognizing patterns such as images or speech. Once a neural net is trained using ML algorithms it can be used for pattern recognition. Other methods, even ones not related to ML and data mining can be used for pattern recognition such as a fully handcrafted pattern recognition system.

In data mining, we can use machine learning (ML) (with the help of unsupervised learning algorithms) to recognize patterns.

Pattern recognition is a process of recognizing patterns such as images or speech. We can recognise patterns using ML. For example, once a neural net is trained, using ML algorithms, it can be used for pattern recognition. Other methods, even ones not related to ML and data mining, can be used for pattern recognition, such as a fully handcrafted pattern recognition system.

To add on

1. data mining is mostly associated with statisticians
2. ML is mostly associated with computer scientists whereas
3. pattern recognition is mostly associated with engineers

We can not compare ML vs pattern recognition. With the help of ML we can achieve Pattern recognition. And also in data mining we can use ML to recognize pattern with the help of unsupervised learning algorithms.

To add on,

data mining is mostly associated with statisticians , 
  ML is mostly associated with computer scientists whereas 
 pattern recognition is mostly associated with engineers.

pattern recognition is a process of recognizing patterns such as images or speech. Once a neural net is trained using ML algorithms it can be used for pattern recognition. Other methods, even ones not related to ML and data mining can be used for pattern recognition such as a fully handcrafted pattern recognition system.

With the help of machine learning (ML) we can achieve pattern recognition. In data mining, we can use ML to recognize patterns with the help of unsupervised learning algorithms.

To add on

1. data mining is mostly associated with statisticians
2. ML is mostly associated with computer scientists whereas
3. pattern recognition is mostly associated with engineers

Pattern recognition is a process of recognizing patterns such as images or speech. Once a neural net is trained using ML algorithms it can be used for pattern recognition. Other methods, even ones not related to ML and data mining can be used for pattern recognition such as a fully handcrafted pattern recognition system.