Channel Title: Causal Python with Alex Molak Channel Description: Welcome to my official YouTube channel, Causal Python, with Alex Molak. Dive into the fascinating world of Causal AI, unraveling the complexities of Causal Inference and Discovery with Python. My content simplifies these intricate topics, making them accessible whether you’re starting or advancing your knowledge. Here, I explore the intersections of causality, AI, machine learning, optimization, and decision-making, all through Python’s versatile capabilities. This is also the home of The Causal Bandits Podcast. For more insightful discussions, check out my Causal Bandit Podcast Website. For Collaboration and Business inquiries, please use the contact information below: 📩 Email: hello@causalpython.io 🔔 Elevate Your AI and Machine Learning Skills to New Heights! Subscribe now for clear, accessible insights into Causal AI and Machine Learning. https://www.youtube.com/@CausalPython/?sub_confirmation=1 <video> 💡 Ignorance is a blessing Description: Ignorance is one of the best things that has happened to us as humanity. But its blessings are only available to those of us who are aware of it. One of my favorite quotes from Yuval Noah Harari captures this idea in a way that I cannot beat: </video> <video> What Do You Really Know About Root Cause Analysis? Description: "Of course my method outperforms yours!" (on my benchmark) Root cause analysis (RCA) is used across industries, but there's a lot of confusion around it. Some people think RCA should be correlational, others wonder if we need full causal discovery to make it valid, most are confused about how to benchmark it. In the new special episode of #CausalBanditsPodcast, Will Orchard (Cambrdige University) shares insights from his own work on RCA. Have you ever tried applying RCA to a real-world problem? What have you learned in the process? [Episode link below] #CausalInference #RootCauseAnalysis #MachineLearning </video> <video> Causal AI at Causal Learning & Representation CLeaR 2024 | Part 1 | CausalBanditsPodcast.com Description: *Causal Bandits at CLeaR 2024 || Part 1* Root cause analysis, model explanations, causal discovery. Are we facing a missing benchmark problem? Or not anymore? In this special episode, we travel to Los Angeles to talk with researchers at the forefront of causal research, exploring their projects, key insights, and the challenges they face in their work. Time codes: 0:15 - 02:40 Kevin Debeire (DLR) - Bootstrapping for Causal Discovery 2:41 - 06:37 Yuchen Zhu (UCL) - Interventions & Causal Abstractions 06:37 - 10:09 Konstantin Göbler (TUM, Bosch) - Benchmarking Causal Discovery 10:09 - 17:05 Urja Pawar (MTU) - Explainability 17:05 - 23:16 William Orchard (Cambridge University) - Root Cause Analysis 📖 Causal Inference & Discovery in Python book: https://amzn.to/3SKRXIw 🎙️ Never miss an episode: https://causalbanditspodcast.com 🔔Unlock the power of Python in causal AI and machine learning. Subscribe for insights on Causal Inference and Discovery: https://causalpython.io ✅ Important Links to Follow 🔗 Medium Blog https://aleksander-molak.medium.com/ 🔗 Newsletter Web https://causalpython.io/ 🔗 Links https://bit.ly/m/alex-bio 🔗 GitHub https://github.com/AlxndrMlk ✅ Stay Connected With Alex 👉Twitter (X): https://twitter.com/AleksanderMolak 👉Linkedin: https://www.linkedin.com/in/aleksandermolak/ 👉Facebook: https://www.facebook.com/CausalPython 👉Instagram: https://www.instagram.com/alex.molak/ 👉Tiktok: https://www.tiktok.com/@alex.molak 👉Causal Bandits Podcast Website: https://causalbanditspodcast.com/ ✅ For Business Inquiries: hello@causalpython.io ============================= ✅ Recommended Playlists 👉 Causal Bandits Podcast https://www.youtube.com/playlist?list=PLhKKv6iMja4p5FbJIgzTOE67E1M6c8lnB 👉 Causal Bandits Podcast Shorts https://www.youtube.com/playlist?list=PLhKKv6iMja4pIcp1uPJfT2rBM8lZ5m9nw ✅ Other Videos You Might Be Interested In Watching: 👉 Causal AI & Individual Treatment Effects | Scott Mueller Ep. 20 | CausalBanditsPodcast.com https://youtu.be/zTJFUaLjxfE 👉 Causal Inference & Clinical Trials: Myths of Randomization | Stephen Senn | CausalBanditsPodcast.com https://youtu.be/nT_yCwXSz54 👉 Causal Inference & Financial Modeling with Alexander Denev Ep 14 | CausalBanditsPodcast.com https://youtu.be/GkqXWC03VYM 👉 The Secret To Smarter Marketing? Juan Orduz Talks Causality And AI Ep 3 | CausalBanditsPodcast.com https://youtu.be/bTTSg91pFUk 👉 How Does Causal AI Change Medicine? Alicia Curth Explains Ep 6 | CausalBanditsPodcast.com https://youtu.be/w9Dy4xqn7mA ============================= ✅ About Causal Python with Alex Molak. Welcome to my official YouTube channel, Causal Python with Alex Molak. Let's dive into the world of Causal AI, exploring Causal Inference and Discovery (with Python). This is also the home of The Causal Bandits Podcast. © Causal Python with Alex Molak📖 Causal Inference & Discovery in Python book: https://amzn.to/3SKRXIw 🎙️ Never miss an episode: https://causalbanditspodcast.com 🔔Unlock the power of Python in causal AI and machine learning. Subscribe for insights on Causal Inference and Discovery: https://causalpython.io ✅ Important Links to Follow 🔗 Medium Blog https://aleksander-molak.medium.com/ 🔗 Newsletter Web https://causalpython.io/ 🔗 Links https://bit.ly/m/alex-bio 🔗 GitHub https://github.com/AlxndrMlk ✅ Stay Connected With Alex 👉Twitter (X): https://twitter.com/AleksanderMolak 👉Linkedin: https://www.linkedin.com/in/aleksandermolak/ 👉Facebook: https://www.facebook.com/CausalPython 👉Instagram: https://www.instagram.com/alex.molak/ 👉Tiktok: https://www.tiktok.com/@alex.molak 👉Causal Bandits Podcast Website: https://causalbanditspodcast.com/ ✅ For Business Inquiries: hello@causalpython.io ============================= ✅ Recommended Playlists 👉 Causal Bandits Podcast https://www.youtube.com/playlist?list=PLhKKv6iMja4p5FbJIgzTOE67E1M6c8lnB 👉 Causal Bandits Podcast Shorts https://www.youtube.com/playlist?list=PLhKKv6iMja4pIcp1uPJfT2rBM8lZ5m9nw ✅ Other Videos You Might Be Interested In Watching: 👉 Causal AI & Individual Treatment Effects | Scott Mueller Ep. 20 | CausalBanditsPodcast.com https://youtu.be/zTJFUaLjxfE 👉 Causal Inference & Clinical Trials: Myths of Randomization | Stephen Senn | CausalBanditsPodcast.com https://youtu.be/nT_yCwXSz54 👉 Causal Inference & Financial Modeling with Alexander Denev Ep 14 | CausalBanditsPodcast.com https://youtu.be/GkqXWC03VYM 👉 The Secret To Smarter Marketing? Juan Orduz Talks Causality And AI Ep 3 | CausalBanditsPodcast.com https://youtu.be/bTTSg91pFUk 👉 How Does Causal AI Change Medicine? Alicia Curth Explains Ep 6 | CausalBanditsPodcast.com https://youtu.be/w9Dy4xqn7mA ============================= ✅ About Causal Python with Alex Molak. Welcome to my official YouTube channel, Causal Python with Alex Molak. Let's dive into the world of Causal AI, exploring Causal Inference and Discovery (with Python). This is also the home of The Causal Bandits Podcast. </video> <video> 🤖 Is OpenAI o1 better at chess or walking? Naftali Weinberger X Causal Bandits Podcast Description: Solving walking vs solving chess inspired different views on modeling behavior & cognition Naftali Weinberger argues that computational and dynamical views are compatible Here's one of my favorite papers Naftali wrote on dynamical systems & causality: https://philsci-archive.pitt.edu/19558/ And here's our podcast conversation where you can learn why dynamical systems perspective is important in causal modeling: https://www.youtube.com/watch?v=UQ8j-DEkB98 #CausalInference #DynamicalSystems </video> <video> My book outsold "Harry Potter", but... Description: My book outsold "Harry Potter", but 😅 🎁 If you want a copy for yourself or a data scientist in your life, you can grab it here: https://vist.ly/3mn2aah Thank you all for your continuous support! </video> <video> A lot of people don't know this, but... causality and optimization are intrinsically connected. Description: A lot of people don't know this, but... Causality and optimization are intrinsically connected. At least as long as real-world outcomes are concerned. Whenever we want to find a balance between increasing sales through incentives and staying on budget, the causality/optimization combo can help us get there. Dima Goldenberg and his colleagues from Booking.com have spent a lot of time on figuring this out. Check our full conversation on the #CausalBanditsPodcast (link in the comments) </video> <video> 🤯 This confusion is probably one of the most dangerous when it comes to causal methods. Description: This confusion is probably one of the most dangerous when it comes to causal methods. Dimitra (Mimie) Liotsiou, PhD (dunnhumby) shares her main insights for the cAI Conference 2024 in London #CausalInference #Causality #datascience Full episode: https://vist.ly/3mpi4in </video> <video> Causal AI at cAI 2024 London | CausalBanditsPodcast.com Description: Causal Bandits at cAI 2024 (The Royal Society, London) The cAI Conference in London slammed the door on baseless claims that causality cannot be used in industrial practice. In the episode of Causal Bandits Extra we interview participants and speakers at Causal AI Conference London, who share their main insights from the event, and the challenges they face in applying causal methods in their everyday work. [Alex's talk: https://www.youtube.com/watch?v=O9iLz7v_fIU] Time codes: 00:29 - Eyal Kazin (Zimmer Biomet) 01:44 - Athanasios Vlontzos (Spotify) 04:02 - Mimie Liotsiou (Dunnhumby) 06:13 - Fernanda Hinze (Croud) 09:00 - Clara Higuera Cabañes (BBVA) 10:28 - Javier Moral Hernández (BBVA) 11:25 - Álvaro Ibraín Rodríguez (BBVA) 12:10 - Hugo Proença (Booking.com) 13:21 - Debora Andrade (Seamless AI) 15:09 - Puneeth Nikin (Croud) 17:54 - Puneet Gupta (Cisco) 19:43 - Arthur Mello (Sephora) ============================= 🔔Unlock the power of Python in AI and machine learning. Subscribe for simple insights into Causal Inference and Discovery. https://www.youtube.com/@CausalPython/?sub_confirmation=1 ✅ Important Links to Follow 🔗Medium Blog https://aleksander-molak.medium.com/ 🔗Newsletter Web https://causalpython.io/ 🔗 Links https://bit.ly/m/alex-bio 🔗 GitHub https://github.com/AlxndrMlk ✅ Stay Connected With Me. 👉Twitter (X): https://twitter.com/AleksanderMolak 👉Linkedin: https://www.linkedin.com/in/aleksandermolak/ 👉Facebook: https://www.facebook.com/CausalPython 👉Instagram: https://www.instagram.com/alex.molak/ 👉Tiktok: https://www.tiktok.com/@alex.molak 👉Causal Bandits Podcast Website: https://causalbanditspodcast.com/ ✅ For Business Inquiries: hello@causalpython.io ============================= ✅ Recommended Playlists 👉 Causal Bandits Podcast https://www.youtube.com/watch?v=rM25vt_ZmFc&list=PLhKKv6iMja4p5FbJIgzTOE67E1M6c8lnB&pp=iAQB 👉 Causal Bandits Podcast Shorts https://www.youtube.com/watch?v=tW_NlMgqBVI&list=PLhKKv6iMja4pIcp1uPJfT2rBM8lZ5m9nw&pp=iAQB ============================= ✅ About Causal Python with Alex Molak. Welcome to my official YouTube channel, Causal Python, with Alex Molak. Dive into the fascinating world of Causal AI, unraveling the complexities of Causal Inference and Discovery with Python. My content simplifies these intricate topics, making them accessible whether you’re starting or advancing your knowledge. Here, I explore the intersections of causality, AI, machine learning, optimization, and decision-making, all through Python’s versatile capabilities. This is also the home of The Causal Bandits Podcast. For more insightful discussions, check out my Causal Bandit Podcast Website. For Collaboration and Business inquiries, please use the contact information below: 📩 Email: hello@causalpython.io Causal Bandits Team Project Coordinator: Taiba Malik https://www.instagram.com/taibasplay Video and Audio Editing: Navneet Sharma, Aleksander Molak 🔔 Elevate Your AI and Machine Learning Skills to New Heights! Subscribe now for clear, accessible insights into Causal AI and Machine Learning. https://www.youtube.com/@CausalPython/?sub_confirmation=1 ================================= © Causal Python with Alex Molak </video> <video> Do Hyperparameters Matter for Causal Discovery? Description: Do Hyperparameters Matter for Causal Discovery? New special episode of the Causal Bandits Podcast drops on Monday! Join us for four short conversations with leading causal AI researchers on: - Hyperparameter tuning - Causal representation learning and - Causal effects of publishing your pre-prints on paper acceptance Stay tuned for the premiere link or sign up for new episode notifications here: https://bit.ly/4fiVIxH #CausalInference #DataScience #MachineLearning </video> <video> Too Much Novelty! Urja Pawar @ CLeaR 2024 #CausalBanditsPodcast.com Description: I woke up to 3000 new papers on ArXiV today 😴😱🫨🤯 Many of us in the AI community love the constant flow of novelty and find it inspiring. But sometimes [often?], chasing novelty is not the most productive thing to do. A few months ago in LA, I met Urja Pawar (MTU) for a short conversation on the work she presented at this year's CLeaR conference. (Full episode: https://vist.ly/3mijsi3 ) I am constantly adjusting my exploration/exploitation balance (this year, we are, so far, at 8+ new papers on causality released per day on ArXiV) How do you deal with novelty in your (sub)field? #CausalInference #XAI #MachineLearning </video> <video> Causal Bandits @ CLeaR 2024 | Part 2 | CausalBanditsPodcast.com Description: Which models work best for causal discovery and double machine learning? In this extra episode, we present 4 more conversations with the researchers presenting their work at the CLeaR 2024 conference in Los Angeles, California. What you'll learn: - Which causal discovery models perform best with their default hyperparameters? - How to tune your double machine learning model? - Does putting your paper on ArXiv early increase its chances of being accepted at a conference? - How to deal with causal representation learning with multiple latent interventions? Time codes: 00:24 Damian Machlanski - Hyperparameter Tuning for Causal Discovery 08:52 Oliver Schacht - Hyperparameter Tuning for DML 14:41 Yanai Elazar - Causal Effect of Early ArXiving on Paper Acceptance 18:53 Simon Bing - Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions ============================= 🔔Unlock the power of Python in AI and machine learning. Subscribe for simple insights into Causal Inference and Discovery. https://www.youtube.com/@CausalPython/?sub_confirmation=1 ✅ Important Links to Follow 🔗Medium Blog https://aleksander-molak.medium.com/ 🔗Newsletter Web https://causalpython.io/ 🔗 Links https://bit.ly/m/alex-bio 🔗 GitHub https://github.com/AlxndrMlk ✅ Stay Connected With Me. 👉Twitter (X): https://twitter.com/AleksanderMolak 👉Linkedin: https://www.linkedin.com/in/aleksandermolak/ 👉Facebook: https://www.facebook.com/CausalPython 👉Instagram: https://www.instagram.com/alex.molak/ 👉Tiktok: https://www.tiktok.com/@alex.molak 👉Causal Bandits Podcast Website: https://causalbanditspodcast.com/ ✅ For Business Inquiries: hello@causalpython.io ============================= ✅ Recommended Playlists 👉 Causal Bandits Podcast https://www.youtube.com/watch?v=rM25vt_ZmFc&list=PLhKKv6iMja4p5FbJIgzTOE67E1M6c8lnB&pp=iAQB 👉 Causal Bandits Podcast Shorts https://www.youtube.com/watch?v=tW_NlMgqBVI&list=PLhKKv6iMja4pIcp1uPJfT2rBM8lZ5m9nw&pp=iAQB ============================= ✅ About Causal Python with Alex Molak. Welcome to my official YouTube channel, Causal Python, with Alex Molak. Dive into the fascinating world of Causal AI, unraveling the complexities of Causal Inference and Discovery with Python. My content simplifies these intricate topics, making them accessible whether you’re starting or advancing your knowledge. Here, I explore the intersections of causality, AI, machine learning, optimization, and decision-making, all through Python’s versatile capabilities. This is also the home of The Causal Bandits Podcast. For more insightful discussions, check out my Causal Bandit Podcast Website. For Collaboration and Business inquiries, please use the contact information below: 📩 Email: hello@causalpython.io 🔔 Elevate Your AI and Machine Learning Skills to New Heights! Subscribe now for clear, accessible insights into Causal AI and Machine Learning. https://www.youtube.com/@CausalPython/?sub_confirmation=1 ================================= © Causal Python with Alex Molak </video> <video> That's where causation comes to play. From marketing to demand forecasting at Cisco. Description: "That's where causation comes to play" From marketing decisions at Croud to demand forecasting at Cisco. #CausalInference #Causality #CausalAI Full episode: https://vist.ly/3mq4j6i </video> <video> 🤔 Causal AI: This belief stops them from doing it Description: The belief that causal methods are intellectually interesting but practically too difficult stops many people from using them. Eyal Kazin, PhD (Zimmer Biomet), shares his main insights from the cAI Conference 2024. #CausalInference #Causality #CausalAI Premiere today: https://vist.ly/3mpfg6j </video> <video> How would my life be if I had a Ferrari in my twenties? Description: How would my life be if I had a Ferrari in my twenties? Would I talk about counterfactuals with Michael Kaminsky? I don't know, but I know that earlier this year we met with Michael for a virtual coffee and a conversation on causal AI, marketing and popular misconceptions around both. You can watch our conversation here: https://vist.ly/3mmvc2j </video> <video> 🤔 What's your favorite paper you read last quarter? Description: What's your favorite paper you read last quarter? (Please share, so we can all learn!) Btw., the way we chose our causal abstractions are sometimes more important than we might realize. My full conversation with Yuchen Zhu (UCL): https://vist.ly/3mmaweq #Causality </video>

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Description

Welcome to my official YouTube channel, Causal Python, with Alex Molak. Dive into the fascinating world of Causal AI, unraveling the complexities of Causal Inference and Discovery with Python.

My content simplifies these intricate topics, making them accessible whether you’re starting or advancing your knowledge. Here, I explore the intersections of causality, AI, machine learning, optimization, and decision-making, all through Python’s versatile capabilities.

This is also the home of The Causal Bandits Podcast. For more insightful discussions, check out my Causal Bandit Podcast Website.

For Collaboration and Business inquiries, please use the contact information below:

📩 Email: hello@causalpython.io

🔔 Elevate Your AI and Machine Learning Skills to New Heights! Subscribe now for clear, accessible insights into Causal AI and Machine Learning.
https://www.youtube.com/@CausalPython/?sub_confirmation=1

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