-
Correlation vs Causation (Statistics)
Correlation is used to understand the relationship between variables. However, correlation does not imply causation.
published: 13 Sep 2022
-
Causality [Simply explained]
In this video i will explain the similarities and differences between correlation, regression and causality. Causality means that there is a clear cause-effect relationship between two variables.
A common mistake in the interpretation of statistics is that when a correlation exists it is immediately assumed to be a causal relationship.
There are two prerequisites for causality:
First, there is a significant relationship, that is, a significant Correlation.
The second condition can be satisfied in two ways.
First, it is satisfied if there is a temporal ordering of the variables. So variable A was collected temporally before variable B.
Furthermore, the second condition can be fulfilled, if there is a theoretically founded and plausible theory in which direction the causal relationship go...
published: 15 Feb 2022
-
Section 5.1 Causal Relationships: The Basics
An introduction to the terminology and concepts used when talking about causal relationships.
published: 24 Oct 2018
-
When she wants a "casual" relationship
She hit him with the uno reverse card
Shameless Patreon plug: https://www.patreon.com/ContentMachine
Comment "Mazzy got played" if you want him to reveal his actual body count (it's between -1 and 3)
published: 22 Dec 2023
-
4 Important Casual Relationship Rules That You Should Keep in Mind
published: 17 Jul 2019
-
What Does a Casual Relationship Mean to a Guy?
Irresistible Texts - https://commitmentconnection.com/texts/?el=ytvideo
4 Proven Ways to Attract the Man You Truly Desire - https://matthewcoast.com/?el=ytvideo
The Devotion Switch - https://commitmentconnection.com/devotion/?el=ytvideo
Feminine Enchantment → https://feminineenchantment.com/?el=ytvideo
The Obsession Formula - https://commitmentconnection.com/obsession/?el=ytvideo
Long Distance Allure - https://commitmentconnection.com/long-distance-allure/?el=ytvideo
Get your ex back - https://commitmentconnection.com/restart-your-relationship/?el=ytvideo
published: 17 Mar 2018
-
CRITICAL THINKING - Fundamentals: Correlation and Causation
In this Wireless Philosophy video, Paul Henne (Duke University) explains the difference between correlation and causation.
Subscribe!
http://bit.ly/1vz5fK9
More on Paul Henne:
http://bit.ly/29alRyb
----
Wi-Phi @ YouTube:
http://bit.ly/1PX0hLu
Wi-Phi @ Khan Academy:
http://bit.ly/1nQJcF7
Twitter:
https://twitter.com/wirelessphi
Instagram:
@wiphiofficial
Facebook:
http://on.fb.me/1XC2tx3
----
Help us caption & translate this video!
http://amara.org/v/4tzX/
published: 10 Mar 2017
-
Causality in Epidemiology
This video covers Causality in Epidemiology. Proving causation between associations among exposure and outcome variables will result in the implementation of public health interventions. This video is a companion to Chapter 12 in the Public Health Epidemiology textbook by Crystel M. Harb, MPH published through Lulu Press @ https://www.lulu.com/search?adult_aud....
#publichealth #epidemiology #globalhealth #covid19 #pandemic #medicine #ilovemedicine #meded #med #medical #medicalschool #medicalstudent #medstudy #mbbs #mbbsstudent #neetpg #usmle #usmlestep #comlex #plab #pharmd #physicianassistant #nursingstudent #doctor #doctorsthatdo #healtheducation #medicalknowledge #healthbyharb...
published: 26 Feb 2021
-
(2024) Causal AI & Supply Chain || Ishansh Gupta || Causal Bandits Ep. 010
Recorded on Sep 27, 2023 in München, Germany.
Audio version available on the best podcast platforms: https://causalbanditspodcast.buzzsprout.com
*From supply chain to large language models and back.*
Ishansh realized the potential of data when he was just 10 years old, during his time as a junior cricket player.
His journey led him to ask questions about the mechanisms behind the observed events.
Can large language models (LLMs) help in building an industrial causal graph?
What inspires stakeholders to share their knowledge and which causal discovery algorithms have been most effective for Ishansh's supply chain use case?
Hear the insights from one of the BMW Group's fastest-rising young data science talents.
Ready?
-----------------------------------------------------------------...
published: 19 Feb 2024
-
How to casually date when you’re a serial monogamist
This video is sponsored by Privacy.com! Protect your financial identity online using virtual cards and get $5 off your first purchase at http://privacy.com/annaakana
thank you for your support! https://patreon.com/annaakana
connect
Instagram: https://www.instagram.com/annaakana
Twitter: http://twitter.com/annaakana
Facebook: https://www.facebook.com/annaakana
Spotify: https://spoti.fi/2MvmYjE
shot & edited by Eric Lombart
http://youtube.com/EricLombart
produced by Amber Grace
http://instagram.com/ambergraceok
grip - Melissa Gasca, John Lee
sound - John Lee
published: 22 Oct 2019
2:11
Correlation vs Causation (Statistics)
Correlation is used to understand the relationship between variables. However, correlation does not imply causation.
Correlation is used to understand the relationship between variables. However, correlation does not imply causation.
https://wn.com/Correlation_Vs_Causation_(Statistics)
Correlation is used to understand the relationship between variables. However, correlation does not imply causation.
- published: 13 Sep 2022
- views: 43853
7:46
Causality [Simply explained]
In this video i will explain the similarities and differences between correlation, regression and causality. Causality means that there is a clear cause-effect ...
In this video i will explain the similarities and differences between correlation, regression and causality. Causality means that there is a clear cause-effect relationship between two variables.
A common mistake in the interpretation of statistics is that when a correlation exists it is immediately assumed to be a causal relationship.
There are two prerequisites for causality:
First, there is a significant relationship, that is, a significant Correlation.
The second condition can be satisfied in two ways.
First, it is satisfied if there is a temporal ordering of the variables. So variable A was collected temporally before variable B.
Furthermore, the second condition can be fulfilled, if there is a theoretically founded and plausible theory in which direction the causal relationship goes.
If neither of the two is true, i.e. there is neither a temporal order nor can the causality be justified by a well-founded theory, then we can only speak of a relationship, but never of causality, i.e. it cannot be said that variable A influences variable B or vice versa.
More Information about Causality:
https://datatab.net/tutorial/causality
Regression Analysis: An introduction to Linear and Logistic Regression
https://youtu.be/FLJ0yYetywE
Simple and Multiple Linear Regression
https://youtu.be/29rjWClT_3U
Assumptions of Linear Regression
https://youtu.be/sDrAoR17pNM
Logistic Regression: An Introduction
https://youtu.be/3tq4t41MsPc
Dummy Variables in Multiple Regression
https://youtu.be/bnjPzHQ04Ac
Regression with categorical independent variables
https://youtu.be/xVBwXqnWPyE
Multicollinearity
https://youtu.be/G1WX5GiFSWQ
Causality, Correlation and Regression
https://youtu.be/dhCnAO4UoiM
https://wn.com/Causality_Simply_Explained
In this video i will explain the similarities and differences between correlation, regression and causality. Causality means that there is a clear cause-effect relationship between two variables.
A common mistake in the interpretation of statistics is that when a correlation exists it is immediately assumed to be a causal relationship.
There are two prerequisites for causality:
First, there is a significant relationship, that is, a significant Correlation.
The second condition can be satisfied in two ways.
First, it is satisfied if there is a temporal ordering of the variables. So variable A was collected temporally before variable B.
Furthermore, the second condition can be fulfilled, if there is a theoretically founded and plausible theory in which direction the causal relationship goes.
If neither of the two is true, i.e. there is neither a temporal order nor can the causality be justified by a well-founded theory, then we can only speak of a relationship, but never of causality, i.e. it cannot be said that variable A influences variable B or vice versa.
More Information about Causality:
https://datatab.net/tutorial/causality
Regression Analysis: An introduction to Linear and Logistic Regression
https://youtu.be/FLJ0yYetywE
Simple and Multiple Linear Regression
https://youtu.be/29rjWClT_3U
Assumptions of Linear Regression
https://youtu.be/sDrAoR17pNM
Logistic Regression: An Introduction
https://youtu.be/3tq4t41MsPc
Dummy Variables in Multiple Regression
https://youtu.be/bnjPzHQ04Ac
Regression with categorical independent variables
https://youtu.be/xVBwXqnWPyE
Multicollinearity
https://youtu.be/G1WX5GiFSWQ
Causality, Correlation and Regression
https://youtu.be/dhCnAO4UoiM
- published: 15 Feb 2022
- views: 31174
3:50
Section 5.1 Causal Relationships: The Basics
An introduction to the terminology and concepts used when talking about causal relationships.
An introduction to the terminology and concepts used when talking about causal relationships.
https://wn.com/Section_5.1_Causal_Relationships_The_Basics
An introduction to the terminology and concepts used when talking about causal relationships.
- published: 24 Oct 2018
- views: 4986
1:29
When she wants a "casual" relationship
She hit him with the uno reverse card
Shameless Patreon plug: https://www.patreon.com/ContentMachine
Comment "Mazzy got played" if you want him to reveal his ...
She hit him with the uno reverse card
Shameless Patreon plug: https://www.patreon.com/ContentMachine
Comment "Mazzy got played" if you want him to reveal his actual body count (it's between -1 and 3)
https://wn.com/When_She_Wants_A_Casual_Relationship
She hit him with the uno reverse card
Shameless Patreon plug: https://www.patreon.com/ContentMachine
Comment "Mazzy got played" if you want him to reveal his actual body count (it's between -1 and 3)
- published: 22 Dec 2023
- views: 401215
6:18
What Does a Casual Relationship Mean to a Guy?
Irresistible Texts - https://commitmentconnection.com/texts/?el=ytvideo
4 Proven Ways to Attract the Man You Truly Desire - https://matthewcoast.com/?el=ytvide...
Irresistible Texts - https://commitmentconnection.com/texts/?el=ytvideo
4 Proven Ways to Attract the Man You Truly Desire - https://matthewcoast.com/?el=ytvideo
The Devotion Switch - https://commitmentconnection.com/devotion/?el=ytvideo
Feminine Enchantment → https://feminineenchantment.com/?el=ytvideo
The Obsession Formula - https://commitmentconnection.com/obsession/?el=ytvideo
Long Distance Allure - https://commitmentconnection.com/long-distance-allure/?el=ytvideo
Get your ex back - https://commitmentconnection.com/restart-your-relationship/?el=ytvideo
https://wn.com/What_Does_A_Casual_Relationship_Mean_To_A_Guy
Irresistible Texts - https://commitmentconnection.com/texts/?el=ytvideo
4 Proven Ways to Attract the Man You Truly Desire - https://matthewcoast.com/?el=ytvideo
The Devotion Switch - https://commitmentconnection.com/devotion/?el=ytvideo
Feminine Enchantment → https://feminineenchantment.com/?el=ytvideo
The Obsession Formula - https://commitmentconnection.com/obsession/?el=ytvideo
Long Distance Allure - https://commitmentconnection.com/long-distance-allure/?el=ytvideo
Get your ex back - https://commitmentconnection.com/restart-your-relationship/?el=ytvideo
- published: 17 Mar 2018
- views: 60418
7:09
CRITICAL THINKING - Fundamentals: Correlation and Causation
In this Wireless Philosophy video, Paul Henne (Duke University) explains the difference between correlation and causation.
Subscribe!
http://bit.ly/1vz5fK9
Mo...
In this Wireless Philosophy video, Paul Henne (Duke University) explains the difference between correlation and causation.
Subscribe!
http://bit.ly/1vz5fK9
More on Paul Henne:
http://bit.ly/29alRyb
----
Wi-Phi @ YouTube:
http://bit.ly/1PX0hLu
Wi-Phi @ Khan Academy:
http://bit.ly/1nQJcF7
Twitter:
https://twitter.com/wirelessphi
Instagram:
@wiphiofficial
Facebook:
http://on.fb.me/1XC2tx3
----
Help us caption & translate this video!
http://amara.org/v/4tzX/
https://wn.com/Critical_Thinking_Fundamentals_Correlation_And_Causation
In this Wireless Philosophy video, Paul Henne (Duke University) explains the difference between correlation and causation.
Subscribe!
http://bit.ly/1vz5fK9
More on Paul Henne:
http://bit.ly/29alRyb
----
Wi-Phi @ YouTube:
http://bit.ly/1PX0hLu
Wi-Phi @ Khan Academy:
http://bit.ly/1nQJcF7
Twitter:
https://twitter.com/wirelessphi
Instagram:
@wiphiofficial
Facebook:
http://on.fb.me/1XC2tx3
----
Help us caption & translate this video!
http://amara.org/v/4tzX/
- published: 10 Mar 2017
- views: 279319
16:02
Causality in Epidemiology
This video covers Causality in Epidemiology. Proving causation between associations among exposure and outcome variables will result in the implementation of pu...
This video covers Causality in Epidemiology. Proving causation between associations among exposure and outcome variables will result in the implementation of public health interventions. This video is a companion to Chapter 12 in the Public Health Epidemiology textbook by Crystel M. Harb, MPH published through Lulu Press @ https://www.lulu.com/search?adult_aud....
#publichealth #epidemiology #globalhealth #covid19 #pandemic #medicine #ilovemedicine #meded #med #medical #medicalschool #medicalstudent #medstudy #mbbs #mbbsstudent #neetpg #usmle #usmlestep #comlex #plab #pharmd #physicianassistant #nursingstudent #doctor #doctorsthatdo #healtheducation #medicalknowledge #healthbyharb
https://wn.com/Causality_In_Epidemiology
This video covers Causality in Epidemiology. Proving causation between associations among exposure and outcome variables will result in the implementation of public health interventions. This video is a companion to Chapter 12 in the Public Health Epidemiology textbook by Crystel M. Harb, MPH published through Lulu Press @ https://www.lulu.com/search?adult_aud....
#publichealth #epidemiology #globalhealth #covid19 #pandemic #medicine #ilovemedicine #meded #med #medical #medicalschool #medicalstudent #medstudy #mbbs #mbbsstudent #neetpg #usmle #usmlestep #comlex #plab #pharmd #physicianassistant #nursingstudent #doctor #doctorsthatdo #healtheducation #medicalknowledge #healthbyharb
- published: 26 Feb 2021
- views: 19585
1:03:23
(2024) Causal AI & Supply Chain || Ishansh Gupta || Causal Bandits Ep. 010
Recorded on Sep 27, 2023 in München, Germany.
Audio version available on the best podcast platforms: https://causalbanditspodcast.buzzsprout.com
*From supply ...
Recorded on Sep 27, 2023 in München, Germany.
Audio version available on the best podcast platforms: https://causalbanditspodcast.buzzsprout.com
*From supply chain to large language models and back.*
Ishansh realized the potential of data when he was just 10 years old, during his time as a junior cricket player.
His journey led him to ask questions about the mechanisms behind the observed events.
Can large language models (LLMs) help in building an industrial causal graph?
What inspires stakeholders to share their knowledge and which causal discovery algorithms have been most effective for Ishansh's supply chain use case?
Hear the insights from one of the BMW Group's fastest-rising young data science talents.
Ready?
------------------------------------------------------------------------------------------------------
*About The Guest*
Ishansh Gupta is a Lead Data Scientist at BMW Group. Previously, he worked for several companies, including a legendary German sports club SV Werder Bremen. He studied Computer Science, and co-founded an educational startup during his study years. He has supervised or supported students in various universities, including the Munich-based TUM and MIT.
Connect with Ishansh:
- Ishansh on Twitter/X: https://twitter.com/IshanshG
- Ishansh on LinkedIn: https://www.linkedin.com/in/ishansh-gupta/
- Ishansh's web page: https://www.linkedin.com/in/ishansh-gupta/
*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: https://bit.ly/aleksander-molak
*Links*
Papers
- Kıcıman et al. (2023) - Causal Reasoning and Large Language Models: Opening a New Frontier for Causality (https://arxiv.org/pdf/2305.00050.pdf)
- Peters et al. (2014) - Causal Discovery with Continuous Additive Noise Models (https://arxiv.org/pdf/1309.6779.pdf) [RESIT algorithm]
Books
- Molak (2023) - Causal Inference and Discovery in Python (https://amzn.to/3QhsRz4)
- Pearl & Mackenzie (2019) - "The Book of Why" (https://amzn.to/3I0ehs2)
LinkedIn
- causaLens (https://www.linkedin.com/company/causalens/)
*Causal Bandits Team*
Project Coordinator: Taiba Malik (https://www.instagram.com/taibasplay/)
Video and Audio Editing: Navneet Sharma, Aleksander Molak
*Action*
Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.io
Causal Bandits: https://causalbanditspodcast.com
The Causal Book: https://amzn.to/3QhsRz4
#machinelearning #causalai #causalinference #causality
https://wn.com/(2024)_Causal_Ai_Supply_Chain_||_Ishansh_Gupta_||_Causal_Bandits_Ep._010
Recorded on Sep 27, 2023 in München, Germany.
Audio version available on the best podcast platforms: https://causalbanditspodcast.buzzsprout.com
*From supply chain to large language models and back.*
Ishansh realized the potential of data when he was just 10 years old, during his time as a junior cricket player.
His journey led him to ask questions about the mechanisms behind the observed events.
Can large language models (LLMs) help in building an industrial causal graph?
What inspires stakeholders to share their knowledge and which causal discovery algorithms have been most effective for Ishansh's supply chain use case?
Hear the insights from one of the BMW Group's fastest-rising young data science talents.
Ready?
------------------------------------------------------------------------------------------------------
*About The Guest*
Ishansh Gupta is a Lead Data Scientist at BMW Group. Previously, he worked for several companies, including a legendary German sports club SV Werder Bremen. He studied Computer Science, and co-founded an educational startup during his study years. He has supervised or supported students in various universities, including the Munich-based TUM and MIT.
Connect with Ishansh:
- Ishansh on Twitter/X: https://twitter.com/IshanshG
- Ishansh on LinkedIn: https://www.linkedin.com/in/ishansh-gupta/
- Ishansh's web page: https://www.linkedin.com/in/ishansh-gupta/
*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: https://bit.ly/aleksander-molak
*Links*
Papers
- Kıcıman et al. (2023) - Causal Reasoning and Large Language Models: Opening a New Frontier for Causality (https://arxiv.org/pdf/2305.00050.pdf)
- Peters et al. (2014) - Causal Discovery with Continuous Additive Noise Models (https://arxiv.org/pdf/1309.6779.pdf) [RESIT algorithm]
Books
- Molak (2023) - Causal Inference and Discovery in Python (https://amzn.to/3QhsRz4)
- Pearl & Mackenzie (2019) - "The Book of Why" (https://amzn.to/3I0ehs2)
LinkedIn
- causaLens (https://www.linkedin.com/company/causalens/)
*Causal Bandits Team*
Project Coordinator: Taiba Malik (https://www.instagram.com/taibasplay/)
Video and Audio Editing: Navneet Sharma, Aleksander Molak
*Action*
Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.io
Causal Bandits: https://causalbanditspodcast.com
The Causal Book: https://amzn.to/3QhsRz4
#machinelearning #causalai #causalinference #causality
- published: 19 Feb 2024
- views: 261
3:34
How to casually date when you’re a serial monogamist
This video is sponsored by Privacy.com! Protect your financial identity online using virtual cards and get $5 off your first purchase at http://privacy.com/anna...
This video is sponsored by Privacy.com! Protect your financial identity online using virtual cards and get $5 off your first purchase at http://privacy.com/annaakana
thank you for your support! https://patreon.com/annaakana
connect
Instagram: https://www.instagram.com/annaakana
Twitter: http://twitter.com/annaakana
Facebook: https://www.facebook.com/annaakana
Spotify: https://spoti.fi/2MvmYjE
shot & edited by Eric Lombart
http://youtube.com/EricLombart
produced by Amber Grace
http://instagram.com/ambergraceok
grip - Melissa Gasca, John Lee
sound - John Lee
https://wn.com/How_To_Casually_Date_When_You’Re_A_Serial_Monogamist
This video is sponsored by Privacy.com! Protect your financial identity online using virtual cards and get $5 off your first purchase at http://privacy.com/annaakana
thank you for your support! https://patreon.com/annaakana
connect
Instagram: https://www.instagram.com/annaakana
Twitter: http://twitter.com/annaakana
Facebook: https://www.facebook.com/annaakana
Spotify: https://spoti.fi/2MvmYjE
shot & edited by Eric Lombart
http://youtube.com/EricLombart
produced by Amber Grace
http://instagram.com/ambergraceok
grip - Melissa Gasca, John Lee
sound - John Lee
- published: 22 Oct 2019
- views: 432580