https://stats.stackexchange.com/questions/5026/what-is-the-difference-between-data-mining-statistics-machine-learning-and-ai

Dear Deeman,

As a matter of fact, maybe it's not correct to categorizing these methods into main fields or sub-fields but this much I can say, each of them can count as a important approach to model and estimate the complex systems. In another words, they are pretty independent in analyzing systems. However data mining and machine learning methods are classified into smart approaches and statistics methods are determined as an analytical approaches.

Dear Deeman,

According to my knowledge, it will be illogical to classify all the mentioned terms in one hierarchy, However, there are some terms which can be categorize as one group. For Example;

Back Propagation is the training algorithm used in ANN. Therefore BP is the part of ANN.

If we talk about Data Mining and Machine Learning, both data mining and machine learning are rooted in data science and generally fall under same umbrella. Data mining can be used for a variety of purposes, including financial research. Machine learning embodies the principles of data mining, but can also make automatic correlations and learn from them to apply to new algorithms. Machine Learning can actually learn from the existing data and provide the foundation necessary for a machine to teach itself.

However, AI is distinct from the rest. AI is the study of how to create intelligent agents. In practice, it is how to program a computer to behave and perform a task as an intelligent agent.

I hope it will help you.

Regards,

https://stats.stackexchange.com/questions/5026/what-is-the-difference-between-data-mining-statistics-machine-learning-and-ai

Nice answer from https://stats.stackexchange.com/a/29186/211167.

In short:

• Statistics quantifies numbers.
• Data Mining explains patterns.
• Machine Learning predicts with models.

https://www.researchgate.net/post/What_is_the_difference_between_machine_learning_and_data_mining2

https://stats.stackexchange.com/questions/5026/what-is-the-difference-between-data-mining-statistics-machine-learning-and-ai

https://www.quora.com/Whats-the-relationship-between-machine-learning-and-data-mining

https://www.forbes.com/sites/bernardmarr/2016/12/06/what-is-the-difference-between-artificial-intelligence-and-machine-learning/

Artificial Intelligence is the broader concept of machines being able to carry out cognitive functions. Whereas, Machine Learning is a current application of AI based around the idea that we should really just be able to get the evolved behaviours from algorithms on given empirical data.

Dear Deeman,

Data mining, machine learning and statistics each are main field. These are big ocean of knowledge. Try to read good IEEE or ACM Transaction survey and review papers for classifying them into sub areas.

Thank you all for your valuable answers

Dear Ms.Youssif Mahmood,

If you are looking for Bioinformatics applications of the Systems Classification and Systems Integration Theorem using String Matching Field Theory (Mallick (2012,2014), Mallick, Hamburger, Mallick (2016, 2017, 2018)) which is our discovery may we say, the paper on Public Health Engineering by Mallick, Hamburger, Mallick (2018) uses this field theory and the vector diffeotopy of jump quantum conductance embedded Higgs-Mallick Field and Method to systems integrate public health architecture using econophysical sustainability protocol. You will find the paper on www.researchgate.net/profile/Soumitra_Mallick.

Soumitra K. Mallick (CA)

for RHMHM School of Mathematical Sciences Thinking,

USA, Japan, India