Zurdo זורדו
@zur-do.bsky.social
Father, Data science / machine learning researcher and communicator with a background in cosmology and a passion for statistics.
מחפש ת׳חברים שלי.
מחפש ת׳חברים שלי.
Reposted by Zurdo זורדו
Eyal Kazin dives into why the Monty Hall Problem "doesn't matter" is the wrong answer and how to leverage analytical thinking in the face of uncertainty.
🚪🚪🐐 Lessons in Decision Making from the Monty Hall Problem | Towards Data Science
A journey into three intuitions: Common, Bayesian and Causal
towardsdatascience.com
May 25, 2025 at 3:27 PM
Eyal Kazin dives into why the Monty Hall Problem "doesn't matter" is the wrong answer and how to leverage analytical thinking in the face of uncertainty.
Reposted by Zurdo זורדו
The Monty Hall Problem... a classic brain teaser that reveals surprising flaws in our intuition about probability and decision making. Eyal Kazin dives into why "it doesn't matter" is the wrong answer and how to leverage analytical thinking in the face of uncertainty.
🚪🚪🐐 Lessons in Decision Making from the Monty Hall Problem | Towards Data Science
A journey into three intuitions: Common, Bayesian and Causal
towardsdatascience.com
May 15, 2025 at 11:02 PM
The Monty Hall Problem... a classic brain teaser that reveals surprising flaws in our intuition about probability and decision making. Eyal Kazin dives into why "it doesn't matter" is the wrong answer and how to leverage analytical thinking in the face of uncertainty.
September 12th - Data Liberation Day! 🇪🇺
Sounds like a lot of pros. What are the cons?
Sounds like a lot of pros. What are the cons?
April 7, 2025 at 8:25 AM
September 12th - Data Liberation Day! 🇪🇺
Sounds like a lot of pros. What are the cons?
Sounds like a lot of pros. What are the cons?
Reposted by Zurdo זורדו
🎉 New Year, New Learning Goals! 🚀 Kick off 2025 with a fresh batch of accessible resources for aspiring data scientists and machine learning professionals.
🖊️ by @zur-do.bsky.social, Barr Moses, Leonie Monigatti, Jason Tamara Widjaja, Sarah Lea, Vyacheslav Efimov, Sara Nóbrega + more
🖊️ by @zur-do.bsky.social, Barr Moses, Leonie Monigatti, Jason Tamara Widjaja, Sarah Lea, Vyacheslav Efimov, Sara Nóbrega + more
Start a New Year of Learning on the Right Foot
A special edition of must-read articles and resources to help you kick off a productive 2025
towardsdatascience.com
January 3, 2025 at 4:47 PM
🎉 New Year, New Learning Goals! 🚀 Kick off 2025 with a fresh batch of accessible resources for aspiring data scientists and machine learning professionals.
🖊️ by @zur-do.bsky.social, Barr Moses, Leonie Monigatti, Jason Tamara Widjaja, Sarah Lea, Vyacheslav Efimov, Sara Nóbrega + more
🖊️ by @zur-do.bsky.social, Barr Moses, Leonie Monigatti, Jason Tamara Widjaja, Sarah Lea, Vyacheslav Efimov, Sara Nóbrega + more
December 12, 2024 at 4:25 PM
"[From the Simpson’s Paradox we learn that] certain decisions cannot be made based on the basis of data alone, but instead depend on the story behind the data. … Graph Theory enables these stories to be conveyed" - Judea Pearl
Internalising this paradox is a great gateway to causality.
#Causalsky
Internalising this paradox is a great gateway to causality.
#Causalsky
December 11, 2024 at 1:42 PM
"[From the Simpson’s Paradox we learn that] certain decisions cannot be made based on the basis of data alone, but instead depend on the story behind the data. … Graph Theory enables these stories to be conveyed" - Judea Pearl
Internalising this paradox is a great gateway to causality.
#Causalsky
Internalising this paradox is a great gateway to causality.
#Causalsky
"The equals sign does not convey any causal information" - Judea Pearl
Structural Equations make causality explicit.
Textbook physics doesn't!
E.g., dv/dt := F/m reads F causes velocity change.
Einstein's E=mc²? Depends:
E := mc² → Manhattan Project
m := E/c² → Particle accelerators
#Causalsky
Structural Equations make causality explicit.
Textbook physics doesn't!
E.g., dv/dt := F/m reads F causes velocity change.
Einstein's E=mc²? Depends:
E := mc² → Manhattan Project
m := E/c² → Particle accelerators
#Causalsky
December 10, 2024 at 6:37 AM
"The equals sign does not convey any causal information" - Judea Pearl
Structural Equations make causality explicit.
Textbook physics doesn't!
E.g., dv/dt := F/m reads F causes velocity change.
Einstein's E=mc²? Depends:
E := mc² → Manhattan Project
m := E/c² → Particle accelerators
#Causalsky
Structural Equations make causality explicit.
Textbook physics doesn't!
E.g., dv/dt := F/m reads F causes velocity change.
Einstein's E=mc²? Depends:
E := mc² → Manhattan Project
m := E/c² → Particle accelerators
#Causalsky
"Mistaking a mediator for a confounder is one of the most deadliest sins of causal inference..." - Judea Pearl
Chains and Forks share dependencies but demand distinct treatments. Forks require adjustment to prevent bias; chains forbid it to preserve causality. DAGs clearly visualise. #CausalSky
Chains and Forks share dependencies but demand distinct treatments. Forks require adjustment to prevent bias; chains forbid it to preserve causality. DAGs clearly visualise. #CausalSky
December 9, 2024 at 6:43 AM
"Mistaking a mediator for a confounder is one of the most deadliest sins of causal inference..." - Judea Pearl
Chains and Forks share dependencies but demand distinct treatments. Forks require adjustment to prevent bias; chains forbid it to preserve causality. DAGs clearly visualise. #CausalSky
Chains and Forks share dependencies but demand distinct treatments. Forks require adjustment to prevent bias; chains forbid it to preserve causality. DAGs clearly visualise. #CausalSky
"[The Monty Hall Problem] shows that our beliefs should depend not merely on the facts observed but also on the process that led to those facts." - Judea Pearl (Causal Primer, p.15)
Daily quote 4 #MontyHall #CausalSky
Switch or stay? Judea points that the host’s choice reveals more than it seems.
Daily quote 4 #MontyHall #CausalSky
Switch or stay? Judea points that the host’s choice reveals more than it seems.
December 8, 2024 at 8:42 PM
"[The Monty Hall Problem] shows that our beliefs should depend not merely on the facts observed but also on the process that led to those facts." - Judea Pearl (Causal Primer, p.15)
Daily quote 4 #MontyHall #CausalSky
Switch or stay? Judea points that the host’s choice reveals more than it seems.
Daily quote 4 #MontyHall #CausalSky
Switch or stay? Judea points that the host’s choice reveals more than it seems.
Reposted by Zurdo זורדו
This conference slammed the door on baseless claims that causality cannot be used in industrial practice.
A brand new episode from cAI London 2024.
In the new episode of Causal Bandits Extra we interview participants and speakers at...
🧵 1/
#CausalSky
A brand new episode from cAI London 2024.
In the new episode of Causal Bandits Extra we interview participants and speakers at...
🧵 1/
#CausalSky
December 6, 2024 at 9:53 AM
This conference slammed the door on baseless claims that causality cannot be used in industrial practice.
A brand new episode from cAI London 2024.
In the new episode of Causal Bandits Extra we interview participants and speakers at...
🧵 1/
#CausalSky
A brand new episode from cAI London 2024.
In the new episode of Causal Bandits Extra we interview participants and speakers at...
🧵 1/
#CausalSky
December 6, 2024 at 5:46 AM
"Our unique gift is seeing what might have been." — Judea Pearl
Quote no. 4
The Causal Ladder defines 3 rungs:
1️⃣ Seeing (what happened?)
2️⃣ Doing (what happens if we act?)
3️⃣ Imagining (what would happen?).
From observations to interventions to counterfactuals—causality evolves with us.
#Causalsky
Quote no. 4
The Causal Ladder defines 3 rungs:
1️⃣ Seeing (what happened?)
2️⃣ Doing (what happens if we act?)
3️⃣ Imagining (what would happen?).
From observations to interventions to counterfactuals—causality evolves with us.
#Causalsky
December 6, 2024 at 5:18 AM
"Our unique gift is seeing what might have been." — Judea Pearl
Quote no. 4
The Causal Ladder defines 3 rungs:
1️⃣ Seeing (what happened?)
2️⃣ Doing (what happens if we act?)
3️⃣ Imagining (what would happen?).
From observations to interventions to counterfactuals—causality evolves with us.
#Causalsky
Quote no. 4
The Causal Ladder defines 3 rungs:
1️⃣ Seeing (what happened?)
2️⃣ Doing (what happens if we act?)
3️⃣ Imagining (what would happen?).
From observations to interventions to counterfactuals—causality evolves with us.
#Causalsky
"Our unique gift is seeing what might have been." — Judea Pearl
Daily quote no. 4
The Causal Ladder defines three rungs:
1️⃣ Seeing (what happened?)
2️⃣ Doing (what happens if we act?)
3️⃣ Imagining (what would happen?).
From observations to interventions to counterfactuals—causality evolves with us.
Daily quote no. 4
The Causal Ladder defines three rungs:
1️⃣ Seeing (what happened?)
2️⃣ Doing (what happens if we act?)
3️⃣ Imagining (what would happen?).
From observations to interventions to counterfactuals—causality evolves with us.
December 6, 2024 at 5:16 AM
"Our unique gift is seeing what might have been." — Judea Pearl
Daily quote no. 4
The Causal Ladder defines three rungs:
1️⃣ Seeing (what happened?)
2️⃣ Doing (what happens if we act?)
3️⃣ Imagining (what would happen?).
From observations to interventions to counterfactuals—causality evolves with us.
Daily quote no. 4
The Causal Ladder defines three rungs:
1️⃣ Seeing (what happened?)
2️⃣ Doing (what happens if we act?)
3️⃣ Imagining (what would happen?).
From observations to interventions to counterfactuals—causality evolves with us.
"The collection of information is as important as the information itself" - Judea Pearl
Daily quote no. 3.
Pearl reminds us that context shapes meaning: biases & assumptions lurk in how info is gathered. It's a subtle critique of Deming's 'Trust data' mantra.
#CausalSky
Daily quote no. 3.
Pearl reminds us that context shapes meaning: biases & assumptions lurk in how info is gathered. It's a subtle critique of Deming's 'Trust data' mantra.
#CausalSky
December 5, 2024 at 5:32 AM
"The collection of information is as important as the information itself" - Judea Pearl
Daily quote no. 3.
Pearl reminds us that context shapes meaning: biases & assumptions lurk in how info is gathered. It's a subtle critique of Deming's 'Trust data' mantra.
#CausalSky
Daily quote no. 3.
Pearl reminds us that context shapes meaning: biases & assumptions lurk in how info is gathered. It's a subtle critique of Deming's 'Trust data' mantra.
#CausalSky
"Oddly, statisticians both over- and underrate the importance of confounders." – Judea Pearl (The Book of Why, p. 139)
Day 2 of of daily quotes. Pearl critiques stats for lacking tools like DAGs to discern what to control for—essential to avoid spurious correlations like colliders!
#CausalSky
Day 2 of of daily quotes. Pearl critiques stats for lacking tools like DAGs to discern what to control for—essential to avoid spurious correlations like colliders!
#CausalSky
December 4, 2024 at 2:06 PM
"Oddly, statisticians both over- and underrate the importance of confounders." – Judea Pearl (The Book of Why, p. 139)
Day 2 of of daily quotes. Pearl critiques stats for lacking tools like DAGs to discern what to control for—essential to avoid spurious correlations like colliders!
#CausalSky
Day 2 of of daily quotes. Pearl critiques stats for lacking tools like DAGs to discern what to control for—essential to avoid spurious correlations like colliders!
#CausalSky
Interested in asking your data Why?
This beginner’s guide to thinking beyond correlations was written as the article I needed when starting to learn causality a few years ago.
bit.ly/start-ask-wh...
#CausalSky
This beginner’s guide to thinking beyond correlations was written as the article I needed when starting to learn causality a few years ago.
bit.ly/start-ask-wh...
#CausalSky
➡️ Start Asking Your Data “Why?” - A Gentle Intro To Causality
Begin your causal journey with visual demonstrations and resources.
bit.ly
December 3, 2024 at 6:35 AM
Interested in asking your data Why?
This beginner’s guide to thinking beyond correlations was written as the article I needed when starting to learn causality a few years ago.
bit.ly/start-ask-wh...
#CausalSky
This beginner’s guide to thinking beyond correlations was written as the article I needed when starting to learn causality a few years ago.
bit.ly/start-ask-wh...
#CausalSky
Causality is great for Data Science mental hygiene. 🧠🧹
I'm looking forward to presenting this week in PyData Global.
Can't make it?
In parallel to slide preparation I posted a @towardsdatascience.com article, which dives a bit deeper.
bit.ly/causal-menta...
#CausalSky @pydata.bsky.social
I'm looking forward to presenting this week in PyData Global.
Can't make it?
In parallel to slide preparation I posted a @towardsdatascience.com article, which dives a bit deeper.
bit.ly/causal-menta...
#CausalSky @pydata.bsky.social
🧠🧹 Causality - Mental Hygiene for Data Science
The Power of Why: Enhancing Data Science with Causal Tools.
bit.ly
December 2, 2024 at 5:07 PM
Causality is great for Data Science mental hygiene. 🧠🧹
I'm looking forward to presenting this week in PyData Global.
Can't make it?
In parallel to slide preparation I posted a @towardsdatascience.com article, which dives a bit deeper.
bit.ly/causal-menta...
#CausalSky @pydata.bsky.social
I'm looking forward to presenting this week in PyData Global.
Can't make it?
In parallel to slide preparation I posted a @towardsdatascience.com article, which dives a bit deeper.
bit.ly/causal-menta...
#CausalSky @pydata.bsky.social
Reposted by Zurdo זורדו
In a thoughtful and comprehensive post, Eyal Kazin explores how the very act of assessing the applicability of causality "is valuable in its own right since it can improve the scientific rigour of your projects."
🧠🧹 Causality - Mental Hygiene for Data Science
The Power of ‘Why?’: Enhancing Data Science with Causal Tools.
towardsdatascience.com
November 29, 2024 at 1:34 AM
In a thoughtful and comprehensive post, Eyal Kazin explores how the very act of assessing the applicability of causality "is valuable in its own right since it can improve the scientific rigour of your projects."
🚪🚪🐐 Have you figured out the #MontyHall brain teaser yet?
In my article I challenge your common sense and discuss 9 decision making lessons learnt from this puzzle.
bit.ly/monty-hall-l...
(Lessons in 🧵)
#datascience #machinelearning #statistics #ai #bayesian #causality #causalinference #python
In my article I challenge your common sense and discuss 9 decision making lessons learnt from this puzzle.
bit.ly/monty-hall-l...
(Lessons in 🧵)
#datascience #machinelearning #statistics #ai #bayesian #causality #causalinference #python
🚪🚪🐐 Lessons in Decision Making from the Monty Hall Problem
A journey into three intuitions: Common, Bayesian and Causal
bit.ly
October 26, 2024 at 6:13 PM
🚪🚪🐐 Have you figured out the #MontyHall brain teaser yet?
In my article I challenge your common sense and discuss 9 decision making lessons learnt from this puzzle.
bit.ly/monty-hall-l...
(Lessons in 🧵)
#datascience #machinelearning #statistics #ai #bayesian #causality #causalinference #python
In my article I challenge your common sense and discuss 9 decision making lessons learnt from this puzzle.
bit.ly/monty-hall-l...
(Lessons in 🧵)
#datascience #machinelearning #statistics #ai #bayesian #causality #causalinference #python
Wondering how to start to learn #causalinference? Check out my gentle intro:
bit.ly/start-ask-wh...
➡️ Start Asking Your Data “Why?” - A Gentle Intro To Causality
It summarises my talk at the @royalstatsoc.bsky.social annual conference.
#Statistics #DataScience #MachineLearning #Causality
bit.ly/start-ask-wh...
➡️ Start Asking Your Data “Why?” - A Gentle Intro To Causality
It summarises my talk at the @royalstatsoc.bsky.social annual conference.
#Statistics #DataScience #MachineLearning #Causality
➡️ Start Asking Your Data “Why?” - A Gentle Intro To Causality
“Causation is not merely an aspect of statistics — it is an addition to statistics” — Judea Pearl
bit.ly
September 12, 2024 at 9:25 PM
Wondering how to start to learn #causalinference? Check out my gentle intro:
bit.ly/start-ask-wh...
➡️ Start Asking Your Data “Why?” - A Gentle Intro To Causality
It summarises my talk at the @royalstatsoc.bsky.social annual conference.
#Statistics #DataScience #MachineLearning #Causality
bit.ly/start-ask-wh...
➡️ Start Asking Your Data “Why?” - A Gentle Intro To Causality
It summarises my talk at the @royalstatsoc.bsky.social annual conference.
#Statistics #DataScience #MachineLearning #Causality
Poster is up! I’m glad to speak with researchers at the
@royalstatsoc.bsky.social about Sequential Hypothesis Testing. I discuss the importance precision as the goal of a stop criterion.
bit.ly/precision-go...
@royalstatsoc.bsky.social about Sequential Hypothesis Testing. I discuss the importance precision as the goal of a stop criterion.
bit.ly/precision-go...
Poster: Enhanced Precision Is The Goal
* The poster should preferably be prepared with a lightweight laminated paper Solo press A0 - £21.07, next day delivery (trustpilot 4.8, 35.6k) printed.com indoor posters, standard 48-hour: £41.64 htt...
bit.ly
September 3, 2024 at 9:09 AM
Poster is up! I’m glad to speak with researchers at the
@royalstatsoc.bsky.social about Sequential Hypothesis Testing. I discuss the importance precision as the goal of a stop criterion.
bit.ly/precision-go...
@royalstatsoc.bsky.social about Sequential Hypothesis Testing. I discuss the importance precision as the goal of a stop criterion.
bit.ly/precision-go...
תהינו מאיפה עלמה למדה להגיד
"Daddy stop!"
וגם לאמא ... עד שרציתי לכבות את המוזיקה בבית ואמרתי
"Alexa stop!"
וואחה אסימון נפל עלינו ... התפוצצנו מצחוק.
מעכשיו זה נגיד
"Alexa, please stop"
"Daddy stop!"
וגם לאמא ... עד שרציתי לכבות את המוזיקה בבית ואמרתי
"Alexa stop!"
וואחה אסימון נפל עלינו ... התפוצצנו מצחוק.
מעכשיו זה נגיד
"Alexa, please stop"
June 21, 2024 at 7:34 AM
תהינו מאיפה עלמה למדה להגיד
"Daddy stop!"
וגם לאמא ... עד שרציתי לכבות את המוזיקה בבית ואמרתי
"Alexa stop!"
וואחה אסימון נפל עלינו ... התפוצצנו מצחוק.
מעכשיו זה נגיד
"Alexa, please stop"
"Daddy stop!"
וגם לאמא ... עד שרציתי לכבות את המוזיקה בבית ואמרתי
"Alexa stop!"
וואחה אסימון נפל עלינו ... התפוצצנו מצחוק.
מעכשיו זה נגיד
"Alexa, please stop"
My new hobby: creating and populating personal #Spotify playlists while listening to their DJ and Discover Weekly playlists.
My Liked Songs currently has 2,630.
Glad to share if anyone is interested.
My Liked Songs currently has 2,630.
Glad to share if anyone is interested.
June 20, 2024 at 10:45 AM
My new hobby: creating and populating personal #Spotify playlists while listening to their DJ and Discover Weekly playlists.
My Liked Songs currently has 2,630.
Glad to share if anyone is interested.
My Liked Songs currently has 2,630.
Glad to share if anyone is interested.
אני ממש שמח שעלמה נהנית לנסוע איתי באופניים. היום נסענו לחוג הכדורגל שלה ולפארק ציבורי גדול.
February 10, 2024 at 1:46 PM
אני ממש שמח שעלמה נהנית לנסוע איתי באופניים. היום נסענו לחוג הכדורגל שלה ולפארק ציבורי גדול.