High Signal: Data Science | Career | AI – Détails, épisodes et analyse

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High Signal: Data Science | Career | AI

Delphina

Technologie

Business & Entrepreneuriat

Fréquence : 1 épisode/15j. Total Éps: 40

Welcome to High Signal, the podcast for data science, AI, and machine learning professionals. High Signal brings you the best from the best in data science, machine learning, and AI. Hosted by Hugo Bowne-Anderson and produced by Delphina, each episode features deep conversations with leading experts, such as Michael Jordan (UC Berkeley), Andrew Gelman (Columbia) and Chiara Farranato (HBS). Join us for practical insights from the best to help you advance your career and make an impact in these rapidly evolving fields. More on our website: https://high-signal.delphina.ai/

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🇫🇷 France - technology
05/06/2026
#90
🇫🇷 France - technology
04/06/2026
#61
🇫🇷 France - technology
19/03/2026
#75
🇬🇧 Grande Bretagne - technology
01/01/2025
#91
🇬🇧 Grande Bretagne - technology
03/11/2024
#78
🇬🇧 Grande Bretagne - technology
01/11/2024
#77
🇺🇸 États-Unis - technology
26/10/2024
#91

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Liens partagés entre épisodes et podcasts

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https://delphinaai.substack.com/
26 partages
https://high-signal.delphina.ai/
20 partages
https://high-signal.delphina.ai/episode/tim-oreilly-on-the-end-of-programming-as-we-know-it
6 partages

https://uk.linkedin.com/in/elisabeth-costa-6a5b35248
2 partages
https://www.linkedin.com/in/amycedmondson/
1 partage
https://www.linkedin.com/in/fei-fei-li-4541247/
1 partage

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Score global : 53%

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Episode 3: Data Science Meets Management: Teamwork, Experimentation, and Decision-Making

samedi 19 octobre 2024 • Durée 52:12

Chiara Farronato (Harvard Business School) discusses how digital platforms like Airbnb and Uber have transformed industries. She explores the challenges of fostering collaboration between managers and data scientists, bridging communication gaps, and building data-driven cultures. Chiara also delves into the complexities of managing peer-to-peer marketplaces and the evolving role of data in decision-making. This episode offers key insights for business leaders working with technical teams and navigating platform-based innovation.

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Episode 2: Fooling Yourself Less: The Art of Statistical Thinking in AI

samedi 19 octobre 2024 • Durée 01:00:51

Hugo Bowne-Anderson welcomes Andrew Gelman, professor at Columbia University, to discuss the practical side of statistics and data science. They explore the importance of high-quality data, computational skills, and using simulation to avoid misleading results. Andrew dives into real-world applications like election predictions and highlights causal inference’s critical role in decision-making. This episode offers insights into balancing statistical theory with applied data analysis, making it a must-listen for both data practitioners and those interested in how statistics shapes our world.

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Episode 1: The Next Evolution of AI: Markets, Uncertainty, and Engineering Intelligence at Scale

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