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All Blog Posts Tagged 'Bias' (6)

Avoiding Look Ahead Bias in Time Series Modelling

Any time series classification or regression forecasting involves the Y prediction at 't+n' given the X and Y information available till time T. Obviously no data scientist or statistician can deploy the system without back testing and validating the performance of model in history. Using the future actual information in training data which could be termed as "Look Ahead Bias" is probably the gravest mistake a data scientist can make. Even the sentence “we cannot make use future…

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Added by Rohit Walimbe on April 21, 2017 at 6:00am — No Comments

Caveat Data Scientist: Public Trust Low for Science

A new paper entitled "Gaining Trust as well as Respect in Communicating Science Topicspublished in the Proceedings of the…

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Added by Michael Walker on September 24, 2014 at 5:07pm — No Comments

Bad Data Science and Woody Allen

"Life imitates art far more than art imitates life." - Oscar Wilde



In Woody Allen's 1973 iconoclastic movie "Sleeper" a man (health food store owner) wakes up two hundred years in the future. For breakfast…

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Added by Michael Walker on May 12, 2014 at 3:00pm — 1 Comment

The Deadly Data Science Sin of Confirmation Bias

Confirmation bias occurs when people actively search for and favor information or evidence that confirms their preconceptions or hypotheses while ignoring or slighting adverse or mitigating evidence. It is a type of cognitive bias (pattern of deviation in judgment that occurs in…

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Added by Michael Walker on April 24, 2014 at 7:30pm — 5 Comments

The Data Bug

Regarding defects in human-built systems, the term "bug"…
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Added by Michael Walker on December 16, 2013 at 9:30am — No Comments

Data Scientists Sometimes Fool Themselves

The easiest person in the world to fool is yourself. Data scientists sometimes fool themselves - in matters trivial and important. Thus, I strongly suggest that we acknowledge real or subconscious biases in ourselves, the data, the analysis and group think. It is prudent for data science teams to have…

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Added by Michael Walker on June 6, 2013 at 12:11pm — No Comments

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