Offline dengan aplikasi Player FM !
Causal AI, Modularity & Learning || Andrew Lawrence || Causal Bandits Ep. 002 (2023)
Manage episode 382502643 series 3526805
Support the show
`from causality import solution`
Recorded on Sep 04, 2023 in London, United Kingdom
A Python package that would allow us to address an arbitrary causal problem with a one-liner does not yet exist.
Fortunately, there are other ways to implement and deploy causal solutions at scale.
In this episode, Andrew shares his journey into causality and gives us a glimpse into the behind-the-scenes of his everyday work at causaLens.
We discuss new ideas that Andrew and his team use to enhance the capabilities of available open-source causal packages, how they strive to build and maintain a highly modularized and open platform.
Finally, we talk about the importance of team work and what Andrew's parents did to make him feel nurtured & supported.
Ready?
About The Guest
Andrew Lawrence is the Director of Research at causaLens (https://causalens.com/) Connect with Andrew:
- Andrew on LinkedIn: https://www.linkedin.com/in/andrew-r-lawrence/
About The Host
Aleksander (Alex) Molak is an independent ML researcher, educator, entrepreneur and a best-selling author in the area of causality.
Connect with Alex:
- Alex on the Internet: https://bit.ly/aleksander-molak
Links
- Code and Blogs
- DARA open-source framework (https://bit.ly/3Ql1VhF)
- causaLens GitHub (https://bit.ly/3QmoUJz)
- causaLens Blog (https://bit.ly/46TieJF)
- Videos
- Brady Neal Introduction to Causality
- Books
- Bishop (2006) - Pattern Recognition and Machine Learning
- Molak (2023) - Causal Inference and Discovery in Python
- Pearl & Mackenzie (2019) - The Book of Why
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
Chapter
1. Causal AI, Modularity & Learning || Andrew Lawrence || Causal Bandits Ep. 002 (2023) (00:00:00)
2. [Ad] Rumi.ai (00:25:53)
3. (Cont.) Causal AI, Modularity & Learning || Andrew Lawrence || Causal Bandits Ep. 002 (2023) (00:26:42)
28 episode
Manage episode 382502643 series 3526805
Support the show
`from causality import solution`
Recorded on Sep 04, 2023 in London, United Kingdom
A Python package that would allow us to address an arbitrary causal problem with a one-liner does not yet exist.
Fortunately, there are other ways to implement and deploy causal solutions at scale.
In this episode, Andrew shares his journey into causality and gives us a glimpse into the behind-the-scenes of his everyday work at causaLens.
We discuss new ideas that Andrew and his team use to enhance the capabilities of available open-source causal packages, how they strive to build and maintain a highly modularized and open platform.
Finally, we talk about the importance of team work and what Andrew's parents did to make him feel nurtured & supported.
Ready?
About The Guest
Andrew Lawrence is the Director of Research at causaLens (https://causalens.com/) Connect with Andrew:
- Andrew on LinkedIn: https://www.linkedin.com/in/andrew-r-lawrence/
About The Host
Aleksander (Alex) Molak is an independent ML researcher, educator, entrepreneur and a best-selling author in the area of causality.
Connect with Alex:
- Alex on the Internet: https://bit.ly/aleksander-molak
Links
- Code and Blogs
- DARA open-source framework (https://bit.ly/3Ql1VhF)
- causaLens GitHub (https://bit.ly/3QmoUJz)
- causaLens Blog (https://bit.ly/46TieJF)
- Videos
- Brady Neal Introduction to Causality
- Books
- Bishop (2006) - Pattern Recognition and Machine Learning
- Molak (2023) - Causal Inference and Discovery in Python
- Pearl & Mackenzie (2019) - The Book of Why
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
Chapter
1. Causal AI, Modularity & Learning || Andrew Lawrence || Causal Bandits Ep. 002 (2023) (00:00:00)
2. [Ad] Rumi.ai (00:25:53)
3. (Cont.) Causal AI, Modularity & Learning || Andrew Lawrence || Causal Bandits Ep. 002 (2023) (00:26:42)
28 episode
Semua episode
×Selamat datang di Player FM!
Player FM memindai web untuk mencari podcast berkualitas tinggi untuk Anda nikmati saat ini. Ini adalah aplikasi podcast terbaik dan bekerja untuk Android, iPhone, dan web. Daftar untuk menyinkronkan langganan di seluruh perangkat.