Why Data Science is for business Companies use. Data Science regardless of the size of the business, statistics show Kaggle (a professional social network for data scientists). And according to IDC and Hitachi, 78% of enterprises confirm that the amount of information analyz. And us has increas significantly in recent years. information contains very important knowlge for. The company that can affect business results, the authors of the study note. Of course, data scientists cannot accurately prict the future of a company and take into account absolutely all possible risks. All models are wrong, but some of them are useful,” said British statistician George Box ironically.
Business understands that unstructur
However Data Science tools serve as a good support for Tongliao Phone Number List companies that want to make more inform and inform decisions about their future. To work with data, data scientists use a whole range of tools – statistical modeling packages, various databases, special software. But, most importantly, they use artificial intelligence technologies and (neural networks) that help businesses analyze information, draw conclusions and prict the future. Each such neural network nes to be plann, built, evaluat, deploy, and only then proce to its training. “Now, according to our estimates, in the process of working on.
Create machine learning models
AI solutions only 30% of the time of specialists is USA CFO spent on training models. Everything else is for preparation for it and other routines,” says David Rafalovsky, CTO of Sberbank Group, executive vice president and head of the Technology block. Anaconda, a company that develops products for working with data, gives even more sad statistics. Her surveys show that, on average, almost half of the time (45%) specialists spend preparing data, that is, loading and cleaning it. Another third is spent on data visualization and model selection. Only 12% and 11% of working hours are left for training and deployment, respectively.