PinnedPublished inTowards Data ScienceThe Physics Behind DataHow physics principles give us deeper insights into our dataMay 1812May 1812
PinnedPublished inTowards Data ScienceThe Science Behind AI’s First Nobel PrizeHow Physics and Machine Learning Joined Forces to Win Physics Nobel 2024Oct 1688Oct 1688
PinnedPublished inTowards Data ScienceA Physicist’s View of Machine Learning: The Thermodynamics of Machine LearningComplex systems in nature can be successfully studied using thermodynamics. What about Machine Learning?Apr 18, 202213Apr 18, 202213
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Published inTowards Data ScienceUnderstanding Large Language Models: The Physics of (Chat)GPT and BERTInsights from a physicist, on how particles and forces can help us understand LLMs.Jul 20, 202311Jul 20, 202311
Published inTowards Data ScienceHow Quantum Physics Broke the Laws of StatisticsDemystifying the Data Science Behind 2022’s Physics Nobel PrizeMay 3, 20239May 3, 20239
Published inTowards Data ScienceThe Meaning Behind Logistic Classification, from PhysicsWhy do we use the logistic and softmax functions? Thermal physics may have an answer.Jan 24, 202312Jan 24, 202312
Published inTowards Data ScienceWhat does Entropy Measure? An Intuitive ExplanationEntropy can be thought of as the probability of seeing certain patterns in data. Here’s how it works.Jan 4, 20232Jan 4, 20232
Published inΦsicist μsingsThe Power of the ExponentialFrom compound interests to statistics, the power of the exponential goes far beyond being just another functionOct 30, 2022Oct 30, 2022
Published inΦsicist μsingsThe Real Magic Behind Imaginary Numbers, i = √−1It turns out, by solving one impossible equation, we solve all the algebraic equations.Oct 9, 20224Oct 9, 20224
