Posts Tagged ‘ Errors ’

Visible and invisible errors, and the nefarious power of suggestion

December 20, 2017
By
Visible and invisible errors, and the nefarious power of suggestion

Kaiser Fung, founder of Applied Analytics at Columbia University and Principal Analytics Prep, the premier data analytics bootcamp from Harvard Business School Startup Studio, discusses how a software vendor uses the power of suggestion to seduce users into believing the accuracy of predictive analytics; and how such a tactic got exposed by the visibility of errors.

Read more »

Visible and invisible errors, and the nefarious power of suggestion

December 20, 2017
By
Visible and invisible errors, and the nefarious power of suggestion

Kaiser Fung, founder of Applied Analytics at Columbia University and Principal Analytics Prep, the premier data analytics bootcamp from Harvard Business School Startup Studio, discusses how a software vendor uses the power of suggestion to seduce users into believing the accuracy of predictive analytics; and how such a tactic got exposed by the visibility of errors.

Read more »

Overselling predictive models (Hint: future performance matters)

December 18, 2017
By

Kaiser Fung, author of Numbersense and founder of Principal Analytics Prep, discusses the rejection of a predictive model used to find vulnerable children at risk for child abuse in Chicago.

Read more »

Overselling predictive models (Hint: future performance matters)

December 18, 2017
By

Kaiser Fung, author of Numbersense and founder of Principal Analytics Prep, discusses the rejection of a predictive model used to find vulnerable children at risk for child abuse in Chicago.

Read more »

Primer on the limitation of current AI

December 7, 2017
By

Kaiser Fung, founder of Principal Analytics Prep and Columbia's MS in Applied Analytics, discusses an article by Rodney Brooks (MIT) on the future of AI.

Read more »

The data fix

November 20, 2017
By
The data fix

Kaiser Fung, founder of Principal Analytics Prep, discusses a blog post about validating machine learning models.

Read more »

My letter to the New York Times is published

November 6, 2017
By

Kaiser Fung, founder of Principal Analytics Prep and author of Numbersense, reacts to the New York TImes Magazine article on Amy Cuddy and the power pose research program. He offers a guide to the controversy around the interpretation of data in social psychology experiments.

Read more »

Another day, another fake data scandal… This time, it’s Twitter

October 26, 2017
By

Kaiser Fung, author of Numbersense and founder of Principal Analytics Prep, sees a crisis of confidence in self-reported non-financial metrics by technology upstarts. He calls for third-party auditing.

Read more »

Analysts must reckon with the fake data menace

October 9, 2017
By

Kaiser Fung, founder of Principal Analytics Prep, comments on the fake data and fraud problem in digital advertising, and calls on data scientists and analysts to rise up to the challenge.

Read more »

Crash course in precision and uncertainty, in advance of that climate debate, free for Mr. Pruitt

July 13, 2017
By

Scott Pruitt, the EPA chief, continues to make innumerate comments about his personal views on climate change science. His chief accusation - chanted often - is that we need more "precision". In his view, achieving 100% precision is necessary because it removes all uncertainty, allowing lawmakers to take action. This post is inspired by his latest interview in which he is encouraging a TV debate event to air out the…

Read more »


Subscribe

Email:

  Subscribe