The Rabbit or Duck conundrum, it all depends on your perception. Every data scientist knows that during EDA, ya gotta get your axes right!
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Industry Perspectives
Stop Building Models, Start Training Data
In this special guest feature, Sanjay Pichaiah, VP of Product Growth at Akridata, highlights why it is time for data scientists to stop building models and start training data. The path to better models and greater model accuracy doesn’t lie exclusively with the model, even though that has been the greatest focus in recent years. To truly accelerate and increase model performance, we need to be focusing more on the training data sets we are supplying the models and stop hoping the data is good enough.
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insideBIGDATA Guide to Big Data for Finance
The goal for this insideBIGDATA technology guide, sponsored by Dell Technologies, is to provide direction for enterprise thought leaders on ways of leveraging big `data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate: (i) Retail Banking; (ii) Regulatory and Compliance, (iii) Algorithmic Trading; and (iv) Security Considerations.
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