In this episode I explain how a community detection algorithm known as Markov clustering can be constructed by combining simple concepts like random walks, graphs, similarity matrix. Moreover, I highlight how one can build a similarity graph and then run a community detection algorithm on such graph to find clusters in tabular data.
You can find a simple hands-on code snippet to play with on the Amethix Blog 
Enjoy the show! 
 
References
[1] S. Fortunato, “Community detection in graphs”, Physics Reports, volume 486, issues 3-5, pages 75-174, February 2010.
[2] Z. Yang, et al., “A Comparative Analysis of Community Detection Algorithms on Artificial Networks”, Scientific Reports volume 6, Article number: 30750 (2016)
[3] S. Dongen, “A cluster algorithm for graphs”, Technical Report, CWI (Centre for Mathematics and Computer Science) Amsterdam, The Netherlands, 2000.
[4] A. J. Enright, et al., “An efficient algorithm for large-scale detection of protein families”, Nucleic Acids Research, volume 30, issue 7, pages 1575-1584, 2002.

How to cluster tabular data with Markov Clustering (Ep. 73)

Technology, AI, machine learning and algorithms. Come join the discussion on Discord!  
https://discord.gg/4UNKGf3

Technology

Tech News

Podcasting

Gadgets

Software How-To

News

In this inaugural episode of "Rust in the Cosmos," we delve into the intricacies of communication in space and some of the challenges in space application development.
 
Sponsors
Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance.

Rust in the Cosmos: Decoding Communication Part I (Ep. 254)

In this episode we delve into the dynamic realm of game development and the transformative role of artificial intelligence (AI). Join Frag, Jim and Mike as they explore the current landscape of game development processes, from initial creative ideation to the integration of AI-driven solutions. With Mike's expertise as a software executive and avid game developer, we uncover the potential of AI to revolutionize game design, streamline development cycles, and enhance player experiences. Discover insights into AI's applications in asset creation, code assistance, and even gameplay itself, as we discuss real-world implementations and cutting-edge research. From the innovative GameGPT framework to the challenges of balancing automation with human creativity, this episode offers valuable perspectives and practical advice for developers looking to harness the power of AI in their game projects. Don't miss out on this insightful exploration at the intersection of technology and entertainment!
 
Sponsors
Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
 
References
https://mikeyoung44.itch.io/spacefreighter - Itch.io link to play the game
https://discord.gg/yaXgYZ5Ymn - Discord server for the game
https://aimodels.substack.com/ - Mike’s newsletter (links to website too)

AI and Video Game Development: Navigating the Future Frontier (Ep. 253)

In this episode, join me and the Kaggle Grand Master, Konrad Banachewicz, for a hilarious journey into the zany world of data science trends. From algorithm acrobatics to AI, creativity, Hollywood movies, and music, we just can't get enough. It's the typical episode with a dose of nerdy comedy you didn't know you needed. Buckle up, it's a data disco, and we're breaking down the binary!
 
Sponsors
Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience
 


Kaggle Kommando's Data Disco: Laughing our Way Through AI Trends (Ep. 252)

In this episode of Data Science at Home, we explore the game-changing impact of low-code solutions in robotics development. Discover how these tools bridge the coding gap, simplify integration, and enable trial-and-error development. We'll also uncover challenges with traditional coding methods using ROS. Join us for a concise yet insightful discussion on the future of robotics!
Sponsors
Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience

Revolutionizing Robotics: Embracing Low-Code Solutions (Ep. 251)

Join us in a dynamic conversation with Yori Lavi, Field CTO at SQream, as we unravel the data analytics landscape. From debunking the data lakehouse hype to SQream's GPU-based magic, discover how extreme data challenges are met with agility. Yori shares success stories, insights into SQream's petabyte-scale capabilities, and a roadmap to breaking down organizational bottlenecks in data science. Dive into the future of data analytics with SQream's commitment to innovation, leaving legacy formats behind and leading the charge in large-scale, cost-effective data projects. Tune in for a dose of GPU-powered revolution!
 
References
SQream - GPU-based Big Data Platform  

Patents Assigned to SQREAM TECHNOLOGIES LTD

How to cluster tabular data with Markov Clustering (Ep. 73)

Download our free app to listen on your phone