Data Science And Machine Learning. With Java?

The blogosphere is full of descriptions about how data science and "AI' is changing the world. In financial services, applications include personalized financial offers, fraud detection, risk assessment (e.g. These applications outlined are largely not new, nor are "AI" algorithms like neural networks. However, increasingly commoditized, flexible and cheaper hardware with readily available algorithms and APIs have lowered barriers to data-compute intensive approaches common to data science, making the use of "AI" algorithms much more straightforward. For practitioners, definitions are well understood. For those less familiar and curious, here are some quick definitions and introductions to baseline everyone. At their heart, data science workflows transform data, from heterogenous sources of information, through models and learning, to derive information from which "useful" decisions can be expedited. Decisions may be automated (e.g. an online search or a retail credit fraud check) or ...