Also, if you read the fantastic computer age statistical inference from Efron & Hastie (it's available online!), you notice they are both fans of data-science!

Also, if you read the fantastic computer age statistical inference from Efron & Hastie (it's available online!), you notice they are both fans of data-science! The whole book reads like a big argument why we need data-science and why traditional statistics is not always the answer. This comes especially obvious in the epilogue, where they try to give a quick oververview how the concept of a "data-science" formed and how statistics diverged into data-science + ML and the traditional statistics-community. They end the book by arguing that both communities should find to each other, because fundamentally they try to do similiar things. I also think is badly needed. Unfortuntaly I experience some of arrogance on both sides, which makes it harder! (DS/ML-people have no idea what they are doing and only throw their algorithms on problems & benchmark them! Statisticians are obsolete & i can just automate them with NNs!)