As machine learning (ML) use-cases expand to include building risk models and trading algorithms, and to finding connections in a fog of data, capital markets firms are also experiencing growing pains ...

a more realistic diagram would show arrows going both forward and backward. This figure is a high-level view of the Azure Machine Learning workflow. In real life, most projects require iteration ...

Data analytics and machine learning drive smarter business decisions, greater operational efficiency, and higher levels of customer satisfaction. Streamlining the data science workflow is ...