We presented our thoughts on content analysis with similarity graphs at the Graph Data Science Conference. The full conference is available on Twitch, and Orsolya’s talk is now available on our YouTube channel. You can watch it below!
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Information Theory (IT) was born in 1948 when Claude Shannon published its a Mathematical Theory of Communication. This seminal work uses linguistic examples, so Information Theory is related to language since its inception. There were many attempts to explain IT to the general audience, but Rényi’s Diary is outstanding with its unique style, clear prose and rigor. If you read only one book on IT, read this one!
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We had the opportunity to present our thoughts on content analysis with similarity graphs at the Graph Data Science conference. Below, you can watch our presentation and other useful materials to get started with similarity graphs.
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You can join us to watch Orsolya’s presentation on Content Analysis with Similarity Graphs at the upcoming live@manning Twitch conference on Graph Data Science.
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This tiny little book is a timeless introduction into the wonderful world of Mathematics which contains what constitutes the theoretical minimum. It treats its subject in an entertaining and intuitive way. It doesn’t bother its readers with proofs and technicalities, rather it shows the joyful nature of thinking about mathematical problems.
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Even seasoned data scientists can have a hard time when one asks them what does it mean to build a (mathematical) model of a problem, or how math is able to represent the world around us and how pure and applied mathematics are related to each other. Alfred Rényi’s Dialogues on Mathematics is a beautiful book on those questions and it is written for the general audience.
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Our paper, Prototypes of Women in American Advertisements: A Machine Aided Image Analysis is freely available in How Images Behave (Eds. Petra Aczél, András Benedek, Kristóf Nyíri).
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The Social Dilemma, a recent Netflix documentary on the negative effects of social media and personalization on our personal and social life, is a film that changes your mindset on the future of AI. It sets the stage for the discussion of essential issues, which is considered the first step to raise social and ethical awareness in the technology sector. Are you devoted to a more ethical and human-sensitive AI? Then, don’t hesitate to read on.
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Knowledge graphs are increasingly becoming important in the AI world as an enabling technology for data integration and analytics, semantic search and question answering, and other cognitive applications. However, developing and maintaining large knowledge graphs in a manual way is too expensive and time consuming. To accelerate things, methods and techniques from the areas of information extraction and natural language processing (NLP) can be very helpful.
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