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After getting involved in both the sites; I think I now have enough experience of both, to make a statement.

The DataScience SE is about the problems and doubts which data scientists encounter on a regular basis like "how do you run neural networks on a cluster efficiently?" and "How do I efficiently setup a MachineLearning process on a server", etc do not belong to the CrossValidated or the StackOverflow sites. They can be only answered in the DataScience site.

As of now, a major chunk of DataScience SE's questions are on-topic with posts on CrossValidated; and it is just because due to the fact that statistics make a major role in data science, so it is and will be a common happening across both the communities.

However, the DataScience SE and the CrossValidated sites are completely different from each other and serve their purposes very well.

A similar discussion on the CrossValidated meta.

After getting involved in both the sites; I think I now have enough experience of both, to make a statement.

The Data Science site is about the problems and questions which data scientists encounter on a regular basis, like "How do you run neural networks on a cluster efficiently?" and "How do I efficiently set up a machine learning process on a server?", etc. do not belong to the Cross Validated or the Stack Overflow sites. They can be only answered on the Data Science site.

As of now, a major chunk of Data Science SE's questions are on-topic with posts on Cross Validated; and it is just because due to the fact that statistics make a major role in data science, so it is and will be a common happening across both the communities.

However, the Data Science SE and the Cross Validated sites are completely different from each other and serve their purposes very well.

A similar discussion on the Cross Validated meta.

After getting involved in both the sites; I think I now have enough experience of both, to make a statement.

The DataScience SE is about the problems and doubts which data scientists encounter on a regular basis like: "how do you run neural networks on a cluster efficiently?" and "How do I efficiently setup a MachineLearning process on a server", etc do not belong to the CrossValidated or the StackOverflow sites. They can be only answered in the DataScience site.

As of now, a major chunk of DataScience SE's questions are on-topic with posts on CrossValidated; and it is just because due to the fact that statistics make a major role in data science, so it is and will be a common happening across both the communities.

However, the DataScience SE and the CrossValidated sites are completely different from each other and serve their purposes very well.

A similar discussion on the CrossValidated meta.

After getting involved in both the sites; I think I now have enough experience of both, to make a statement.

The DataScience SE is about the problems and doubts which data scientists encounter on a regular basis like "how do you run neural networks on a cluster efficiently?" and "How do I efficiently setup a MachineLearning process on a server", etc do not belong to the CrossValidated or the StackOverflow sites. They can be only answered in the DataScience site.

As of now, a major chunk of DataScience SE's questions are on-topic with posts on CrossValidated; and it is just because due to the fact that statistics make a major role in data science, so it is and will be a common happening across both the communities.

However, the DataScience SE and the CrossValidated sites are completely different from each other and serve their purposes very well.

A similar discussion on the CrossValidated meta.

After getting involved in both the sites; I think I now have enough experience of both, to make a statement.

The DataScience SE is about the problems and doubts which data scientists encounter on a regular basis like: "how do you run neural networks on a cluster efficiently?" and "How do I efficiently setup a MachineLearning process on a server", etc do not belong to the CrossValidated or the StackOverflow sites. They can be only answered in the DataScience site.

As of now, a major chunk of DataScience SE's questions are on-topic with posts on CrossValidated; and it is just because due to the fact that statistics make a major role in data science, so it is and will be a common happening across both the communities.

However, the DataScience SE and the CrossValidated sites are completely different from each other and serve their purposes very well.

A similar discussion on the CrossValidated meta.

After getting involved in both the sites; I think I now have enough experience of both, to make a statement.

The DataScience SE is about the problems and doubts which data scientists encounter on a regular basis like: "how do you run neural networks on a cluster efficiently?" and "How do I efficiently setup a MachineLearning process on a server", etc do not belong to the CrossValidated or the StackOverflow sites. They can be only answered in the DataScience site.

As of now, a major chunk of DataScience SE's questions are on-topic with posts on CrossValidated; and it is just because due to the fact that statistics make a major role in data science, so it is and will be a common happening across both the communities.

However, the DataScience SE and the CrossValidated sites are completely different from each other and serve their purposes very well.

A similar discussion on the CrossValidated meta.