Are Successful Data Scientists Hired or Trained?
The data science valley of despair is real. Time after time, leaders who’re well-versed in case studies and industry research extolling the returns of data-driven insights seek to innovate their business—and land in a hole of frustration and write-offs. It may be more accurate to call it a crater... Read more
Automating Data Wrangling – The Next Machine Learning Frontier
Up to 95% of a data scientist’s time is spent data wrangling. Conversely, about 99% of data-scientists hate data wrangling. That’s problematic. Data wrangling tends to be the most redundant and mind-numbing process associated with building Machine Learning (ML) models. There are four steps to building an ML model:... Read more