Stat-Talk #11

Stat-Talk #11

4 Usecases for Multi-Armed Bandits

4 Usecases for Multi-Armed Bandits

4 Usecases for Multi-Armed Bandits

Dynamically Divert Traffic To Winning Variations

Dynamically Divert Traffic To Winning Variations

Dynamically Divert Traffic To Winning Variations

Get More Conversions in Limited Time Campaigns and Push Notifications

Get More Conversions in Limited Time Campaigns and Push Notifications

Get More Conversions in Limited Time Campaigns and Push Notifications

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60 Mins

60 Mins

60 Mins

Live with Ishan Goel, who built VWO's Stats Engine.

Live with Ishan Goel, who built VWO's Stats Engine.

Live with Ishan Goel, who built VWO's Stats Engine.

What You'll Learn

checkUnderstand the exploration-exploitation tradeoff between an A/B Test and an MAB.
checkKnow when MABs can get you more conversions and how to use them.
checkLearn from industry case studies of Udemy & Offer Fit.
checkSee how MABs can lead the way towards Personalization algorithms.

This Webinar Is For You If

This talk is for you if:

checkYou make changes on your website for a short period of time, like flash sales.
checkYou are apprehensive about MABs and do not properly understand the risks with them.
checkYou already use MABs but want ideas on more avenues for using the algorithm.
checkYou want to personalize your website for different audiences by learning from data.

After this talk you will have a clear understanding of the differences between MAB and A/B testing and a wider view idea on when to use what.

Learn with

Learn with

Ishan Goel

Ishan Goel

Built the Stats Engine at VWO

Built the Stats Engine at VWO

Founder & Educator

Former Head of Data Science

Author

Trained 60 Leaders

Founder & Educator

Former Head of Data Science

Author

Trained 60 Leaders

Hi, I am Ishan Goel, a statistician, educator and founder of Thinking Bell.

I previously led data science research at VWO, where I built VWO's Stats Engine.

Today, I teach experimentation statistics through analogies, simulations, games, doodles and real-world problems, making difficult statistical ideas intuitive and useful.

I have also taught experimentation and statistics to cross-functional teams across product, marketing and data, including a 60-person training programme at The Economist.

My goal is simple: help people reason confidently about experiments without turning them into statisticians.

Stat-Talk #11

4 Usecases for Multi-Armed Bandits

Dynamically Divert Traffic To Winning Variations