Discipline Expert: The Tiny Habit That Finally Makes You Lose Weight! The 2-Minute Trick!

Discipline Expert: The Tiny Habit That Finally Makes You Lose Weight! The 2-Minute Trick!

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Ready to make habits that stick in 2026? Atomic Habits author JAMES CLEAR reveals the science behind building lasting habits, breaking bad ones, and how 1% improvements transform your entire life! James Clear is a #1 international bestselling author and habit formation expert, best known for his book “Atomic Habits”, which sold over 25 million copies worldwide. He writes the ‘3-2-1 Newsletter’ (read by millions weekly) and recently published ‘The Atomic Habits Workbook’. He explains:  ◼️The 2-minute trick […]

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AI-Designed Proteins Take on Deadly Snake Venom

AI-Designed Proteins Take on Deadly Snake Venom

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Every year, venomous snakes kill over 100,000 people and leave 300,000 more with devastating injuries — amputations, paralysis and permanent disabilities. The victims are often farmers, herders and children in rural communities across sub-Saharan Africa, South Asia and Latin America. For them, a snakebite isn’t just a medical crisis — it’s an economic catastrophe. Treatment hasn’t changed in over a century. Antivenoms — derived from the blood of immunized animals — are expensive, difficult to manufacture and often […]

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The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel

The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel

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In this article, we rebuild Logistic Regression step by step directly in Excel. Starting from a binary dataset, we explore why linear regression struggles as a classifier, how the logistic function fixes these issues, and how log-loss naturally appears from the likelihood. With a transparent gradient-descent table, you can watch the model learn at each iteration—making the whole process intuitive, visual, and surprisingly satisfying. The post The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel appeared […]

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Spectral Community Detection in Clinical Knowledge Graphs

Spectral Community Detection in Clinical Knowledge Graphs

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Introduction How do we identify latent groups of patients in a large cohort? How can we find similarities among patients that go beyond the well-known comorbidity clusters associated with specific diseases? And more importantly, how can we extract quantitative signals that can be analyzed, compared, and reused across different clinical scenarios? The information associated to […] The post Spectral Community Detection in Clinical Knowledge Graphs appeared first on Towards Data Science.

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