Causality 101 with Robert Osazuwa Ness - #342

2020-01-27 · 40 min · episode 342 · 13 entities

episode page audio

Asserted relationships

→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

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evidence rules-v4
Causality 101 with Robert Osazuwa Ness - #342
→ hosted by Sam Charrington person

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Feed author/publisher: Sam Charrington
→ discusses Science concept

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Feed category: Science
→ discusses Technology company

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Feed category: Technology
→ discusses News concept

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evidence rules-v4
Feed category: News
→ discusses Tech News concept

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evidence rules-v4
Feed category: Tech News
→ hosted by TWIML company

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evidence rules-v4
Feed author/publisher: TWIML

Entities found in this episode

concepts 5

mentioned Science concept

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Feed category: Science
mentioned Tech News concept

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evidence rules-v4
Feed category: Tech News
discusses Science concept

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evidence rules-v4
Feed category: Science
discusses News concept

0.40 · ×2

evidence rules-v4
Feed category: News
discusses Tech News concept

0.40 · ×2

evidence rules-v4
Feed category: Tech News

companys 4

mentioned TWIML company

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evidence rules-v4
Feed author/publisher: TWIML
mentioned Technology company

0.50 · ×2

evidence rules-v4
Feed category: Technology
discusses Technology company

0.40 · ×2

evidence rules-v4
Feed category: Technology
hosted by TWIML company

0.40 · ×2

evidence rules-v4
Feed author/publisher: TWIML

persons 3

mentioned Robert Osazuwa Ness person

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Causality 101 with Robert Osazuwa Ness - #342
mentioned Sam Charrington person

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evidence rules-v4
Feed author/publisher: Sam Charrington
hosted by Sam Charrington person

0.55 · ×2

evidence rules-v4
Feed author/publisher: Sam Charrington

podcasts 1

appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

0.68 · ×2

evidence rules-v4
Causality 101 with Robert Osazuwa Ness - #342

Episode description as stored

Today Robert Osazuwa Ness, ML Research Engineer at Gamalon and Instructor at Northeastern University joins us to discuss Causality, what it means, and how that meaning changes across domains and users, and our upcoming study group based around his new course sequence, “Causal Modeling in Machine Learning," for which you can find details at twimlai.com/community.