Artwork

İçerik Alex Molak tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Alex Molak veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
Player FM - Podcast Uygulaması
Player FM uygulamasıyla çevrimdışı Player FM !

Causal ML, Transparency & Time-Varying Treatments || Iyar Lin || Causal Bandits Ep. 008 (2024)

56:01
 
Paylaş
 

Manage episode 396925615 series 3526805
İçerik Alex Molak tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Alex Molak veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

Send us a text

Support the show
Video version available on YouTube
Recorded on Sep 13, 2023 in Beit El'Azari, Israel
The eternal dance between the data and the model

Early in his career, Iyar realized that purely associative models cannot provide him with the answers to the questions he found most interesting.
This realization laid the groundwork for his search for methods that go beyond statistical summaries of the data.
What started as a lonely journey, led him to become a data science lead at his current company, where he fosters causal culture daily.
Iyar developed a framework that helps digital product companies make better decisions regarding their products at scale and at budget.
Here, causality is not just a concept, but a tool for change.
Ready to dive in?
------------------------------------------------------------------------------------------------------
About The Guest
Iyar Lin is a Data Science Lead at Loops, where he helps customers make better decisions leveraging causal inference and machine learning methods. He holds master's degree in statistics from The Hebrew University of Jerusalem. Before Loops, he worked at ViaSat and SimilarWeb.
Connect with Iyar:
- Iyar on LinkedIn
- Iyar's web page
About The Host
Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality (https://amzn.to/3QhsRz4).
Connect with Alex:
- Alex on the Internet
Links
Papers
- Breiman (2001) - Statistical Modeling: The Two Cultures
Books
- Molak (2023) - Causal Inference and Discovery in Python
- Pearl et al. (2016) - Causal Inference in Statistics - A Pri

Support the show

Causal Bandits Podcast
Causal AI || Causal Machine Learning || Causal Inference & Discovery
Web: https://causalbanditspodcast.com
Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.io
The Causal Book: https://amzn.to/3QhsRz4

  continue reading

Bölümler

1. Causal ML, Transparency & Time-Varying Treatments || Iyar Lin || Causal Bandits Ep. 008 (2024) (00:00:00)

2. [Ad] Rumi.ai (00:09:33)

3. (Cont.) Causal ML, Transparency & Time-Varying Treatments || Iyar Lin || Causal Bandits Ep. 008 (2024) (00:10:22)

28 bölüm

Artwork
iconPaylaş
 
Manage episode 396925615 series 3526805
İçerik Alex Molak tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Alex Molak veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

Send us a text

Support the show
Video version available on YouTube
Recorded on Sep 13, 2023 in Beit El'Azari, Israel
The eternal dance between the data and the model

Early in his career, Iyar realized that purely associative models cannot provide him with the answers to the questions he found most interesting.
This realization laid the groundwork for his search for methods that go beyond statistical summaries of the data.
What started as a lonely journey, led him to become a data science lead at his current company, where he fosters causal culture daily.
Iyar developed a framework that helps digital product companies make better decisions regarding their products at scale and at budget.
Here, causality is not just a concept, but a tool for change.
Ready to dive in?
------------------------------------------------------------------------------------------------------
About The Guest
Iyar Lin is a Data Science Lead at Loops, where he helps customers make better decisions leveraging causal inference and machine learning methods. He holds master's degree in statistics from The Hebrew University of Jerusalem. Before Loops, he worked at ViaSat and SimilarWeb.
Connect with Iyar:
- Iyar on LinkedIn
- Iyar's web page
About The Host
Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality (https://amzn.to/3QhsRz4).
Connect with Alex:
- Alex on the Internet
Links
Papers
- Breiman (2001) - Statistical Modeling: The Two Cultures
Books
- Molak (2023) - Causal Inference and Discovery in Python
- Pearl et al. (2016) - Causal Inference in Statistics - A Pri

Support the show

Causal Bandits Podcast
Causal AI || Causal Machine Learning || Causal Inference & Discovery
Web: https://causalbanditspodcast.com
Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.io
The Causal Book: https://amzn.to/3QhsRz4

  continue reading

Bölümler

1. Causal ML, Transparency & Time-Varying Treatments || Iyar Lin || Causal Bandits Ep. 008 (2024) (00:00:00)

2. [Ad] Rumi.ai (00:09:33)

3. (Cont.) Causal ML, Transparency & Time-Varying Treatments || Iyar Lin || Causal Bandits Ep. 008 (2024) (00:10:22)

28 bölüm

Todos los episodios

×
 
Loading …

Player FM'e Hoş Geldiniz!

Player FM şu anda sizin için internetteki yüksek kalitedeki podcast'leri arıyor. En iyi podcast uygulaması ve Android, iPhone ve internet üzerinde çalışıyor. Aboneliklerinizi cihazlar arasında eş zamanlamak için üye olun.

 

Hızlı referans rehberi