Webinar

What to Do When Your Data Is Lying to You

Date: October 17, 2018
Time: 10:00am - 11:00am PDT

Our job as data scientists is to demand answers from the data, even if these answers are sometimes not in line with what we would like to hear. There are many ways in which our data, the models we build with it, or the laws of statistics can push us into drawing the wrong conclusions. To be successful, we need to navigate through common pitfalls like outliers, overfitting, selection biases, and more.

In this talk, we will discuss not only how data can deceive analysts (both human-driven and technical) and what those consequences can be but also how to avoid being misled in the first place. In other words, we'll be covering how to ensure that your data is actually telling you the truth, the whole truth, and nothing but the truth.

Presenter

Jennifer Prendki

VP, Machine Learning, Figure Eight

Jennifer has spent most of her career creating a data-driven culture wherever she went, succeeding in sometimes highly skeptical environments. She is particularly skilled at building and scaling high-performance Machine Learning teams and is known for enjoying a good challenge.

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent neque elit, blandit nec aliquam tincidunt, tristique id lorem. Aliquam dapibus bibendum mauris. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Vivamus quis eleifend purus. Nunc eget nibh ante. Cras nec nisi vel dolor eleifend aliquam.

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent neque elit, blandit nec aliquam tincidunt, tristique id lorem. Aliquam dapibus bibendum mauris. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Vivamus quis eleifend purus. Nunc eget nibh ante. Cras nec nisi vel dolor eleifend aliquam.
Presenter

Jennifer Prendki

VP, Machine Learning, Figure Eight

Jennifer has spent most of her career creating a data-driven culture wherever she went, succeeding in sometimes highly skeptical environments. She is particularly skilled at building and scaling high-performance Machine Learning teams and is known for enjoying a good challenge.

Name Last

Job Title

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent neque elit, blandit nec aliquam tincidunt, tristique id lorem. Aliquam dapibus bibendum mauris. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Vivamus quis eleifend purus. Nunc eget nibh ante. Cras nec nisi vel dolor eleifend aliquam.

Name Last

Job Title

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent neque elit, blandit nec aliquam tincidunt, tristique id lorem. Aliquam dapibus bibendum mauris. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Vivamus quis eleifend purus. Nunc eget nibh ante. Cras nec nisi vel dolor eleifend aliquam.