AI News, 12 data science mistakes to avoid
- On Sunday, June 3, 2018
- By Read More
12 data science mistakes to avoid
organizations large and small are looking at AI tools and services in hopes of improving business processes, customer support and decision making with big data, predictive analytics and automated algorithmic systems.
But expertise in data science isn’t nearly as widespread as the interest in using data to make decisions and improve results.
“The majority of your time, often 80 percent of your time, is going to be spent getting and cleaning data,” says Jonathan Ortiz, data scientist and knowledge engineer at data.world.
- On Tuesday, January 15, 2019
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