Interpretability
Data Skeptic7 Jan 2020

Interpretability

Interpretability

Machine learning has shown a rapid expansion into every sector and industry. With increasing reliance on models and increasing stakes for the decisions of models, questions of how models actually work are becoming increasingly important to ask.

Welcome to Data Skeptic Interpretability.

In this episode, Kyle interviews Christoph Molnar about his book Interpretable Machine Learning.

Thanks to our sponsor, the Gartner Data & Analytics Summit going on in Grapevine, TX on March 23 – 26, 2020. Use discount code: dataskeptic.

Music

Our new theme song is #5 by Big D and the Kids Table.

Incidental music by Tanuki Suit Riot.

Episoder(589)

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Fairness in e-Commerce Search

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Fraudulent Amazon Reviewers

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Ad Targeting in Amazon Smart Speakers

Ad Targeting in Amazon Smart Speakers

While we give attention to textual data on the web, many do not know the unique power of echo interactions with smart devices for ad targeting. Today, our guest, Umar Iqbal joins us to discuss his study on using Amazon Smart Speakers for ad targeting. He gave interesting revelations about how voice data is captured and analysed for ad purposes. Listen to find out more.

22 Aug 202232min

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Adwords with Unknown Budgets

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ML Ops Best Practices

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Affiliate Marketing Rabbithole

Affiliate Marketing Rabbithole

Affiliate marketing creates an opportunity for marketers to gain a commission by promoting a product or service. Cookies are typically used for tracking and the advertiser whose product or service is being featured pays the marketing only on transactions. Today's episode covers those approaches and is also a story of conflict between two large companies and how one affiliate marketer got caught in the middle.

8 Aug 202252min

Monetization of Youtube Conspiracy Theorists

Monetization of Youtube Conspiracy Theorists

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