8 ms·
This overlooks a huge part of data science which is cleaning your data. The rest is relatively available with off the shelf tools.
by kcolford 7y ago
This overlooks a huge part of data science which is cleaning your data. The rest is relatively available with off the shelf tools.
- asdfman123 7y agoThe reason data science is so expensive is because you have to spend so much time cleaning your data, teasing out the true relationships between things, and avoiding common pitfalls. If you want quick, cheap predictions, there are tools out there that make it very easy, like Azure Machine Learning Studio where you just paste data and have common algorithms run on it.
- arauhala 7y agoFounder here. Aito does help with some of the data cleaning concerns: - There is automatic feature selection/filtering to selec most relevant features from huge feature pools - Inference through links does help with the data aggregation / flattening work - There are also new techniques coming in in the future release, which does some feature engineering automatically - Then there is the ability to express missing data, the ability to bin numeric values and Bayesian mathematics helps with certain data chacteristics In future, you could likely large skip the step, where data scientist turns deep datastructures into flat dataframes.