Book description
"Data is here, it's growing, and it's powerful." Author Cathy O'Neil argues that the right approach to data is skeptical, not cynical––it understands that, while powerful, data science tools often fail. Data is nuanced, and "a really excellent skeptic puts the term 'science' into 'data science.'" The big data revolution shouldn't be dismissed as hype, but current data science tools and models shouldn't be hailed as the end-all-be-all, either.
Product information
- Title: On Being a Data Skeptic
- Author(s):
- Release date: September 2013
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781449374310
You might also like
book
Global Pharma: Managing Uncertainty
This new case study shows how an operationally complex global pharmaceutical company based in Hyderabad, India, …
article
Why So Many Data Science Projects Fail to Deliver
Many companies are unable to consistently gain business value from their investments in big data, artificial …
book
Learning to Love Data Science
Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic …
article
The Human Factor in AI-Based Decision-Making
Individuals’ unique decision-making styles inform the choices they make when working with AI-based inputs. The authors …