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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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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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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