Dean Eman,

First of all, I must say that your question is really good. There are some links available, which will be helpful to find your answers. The links are:

1. https://www.analyticsvidhya.com/blog/2015/07/difference-machine-learning-statistical-modeling/

2. https://stats.stackexchange.com/questions/6/the-two-cultures-statistics-vs-machine-learning

3. https://analyticsindiamag.com/machine-learning-different-statistics/

And one book:

4. Ratner, B. (2011). Statistical and machine-learning data mining: Techniques for better predictive modeling and analysis of big data. CRC Press.

Thanks,

Sobhan

Dean Eman,

First of all, I must say that your question is really good. There are some links available, which will be helpful to find your answers. The links are:

1. https://www.analyticsvidhya.com/blog/2015/07/difference-machine-learning-statistical-modeling/

2. https://stats.stackexchange.com/questions/6/the-two-cultures-statistics-vs-machine-learning

3. https://analyticsindiamag.com/machine-learning-different-statistics/

And one book:

4. Ratner, B. (2011). Statistical and machine-learning data mining: Techniques for better predictive modeling and analysis of big data. CRC Press.

Thanks,

Sobhan

A statistical model is a formalization of relationships between variables in the form of mathematical equations, based on programmed instructions, we can find regression analysis and linear models, statistical inference, etc.

Machine learning is a subfield of computer science and artificial intelligence which deals with building systems that can learn from data, instead of explicitly programmed instructions, where we can find for example: Decision tree, Association rule, Artificial neural network, Inductive logic programming, Support vector machines, Cluster analysis, etc.

Refer to

https://www.analyticsvidhya.com/blog/2015/07/difference-machine-learning-statistical-modeling/