'A book that seems made for the present moment' New Yorker
Toby Ord
'A book that seems made for the present moment' New Yorker
Toby Ord
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In All Likelihood introduces the concept of likelihood as a powerful and unifying framework for statistical analysis. Aimed at making complex ideas accessible, it shows how likelihood helps in understanding and solving a wide range of real-world problems.
This book challenges mathematical skills in a totally different way from the usual geometric puzzles. Across 5 chapters, there are 120 visually intriguing puzzles, each one corresponding to a level of difficulty, from the very easy to the very hard.
Discrete Mathematics for Data Science provides an early course in both Data Science and Discrete Mathematics, focusing on how a deeper understanding of the former can unlock a more effective implementation of the latter.
