Data Skeptic

Neural Architecture Search for CTR Prediction

Jun 27, 2022

28:02

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Highlights

AI Chapters

Episode notes

Is There Anything Inherently Inefficient About Machine Learning?

03:23

Deep Learning

02:55

Is There a Difference Between Recommendation and Machine Learning?

03:14

Introduction

3min

Using AdWords to Track Ads

2min

Deep Learning

3min

Is There a Difference Between Recommendation and Machine Learning?

3min

Noral Architecture Search

2min

Estrato Is a Rapid Prototyping Tool for Data Teams

3min

Is There Anything Inherently Inefficient About Machine Learning?

3min

How to Implement a Python Script to Improve Your Predictions?

3min

10.

Is There a Data Set You Can Compare Against?

3min

Ravi Krishna joins us today to talk about his recent work on a differentiable NAS framework for ads CTR prediction. He discussed what CTR prediction is about and why his NAS framework helps in building neural networks for better ads recommendation. Listen to learn about methodology, related literature and his results.

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