PinnedInTDS ArchivebyCarolina Bento·Jan 21, 2025Large Language Models: A Short IntroductionAnd why you should care about LLMsA response icon13A response icon13
PinnedInTDS ArchivebyCarolina Bento·Nov 5, 2023Hidden Markov Models Explained with a Real Life Example and Python codeHMMs are probabilistic models used to solve real life problems ranging from weather forecasting to finding the next word in a sentenceA response icon7A response icon7
PinnedInTDS ArchivebyCarolina Bento·May 31, 2022Recurrent Neural Networks Explained with a Real Life Example and Python CodeUsing Recurrent Neural Networks in a Sentiment Analysis taskA response icon2A response icon2
PinnedInTDS ArchivebyCarolina Bento·Sep 21, 2021Multilayer Perceptron Explained with a Real-Life Example and Python Code: Sentiment AnalysisMultilayer Perceptron is a Neural Network that learns the relationship between linear and non-linear data.A response icon15A response icon15
PinnedInTDS ArchivebyCarolina Bento·Dec 30, 2020Markov models and Markov chains explained in real life: probabilistic workout routineMarkov defined a way to represent real-world stochastic systems and processes that encode dependencies and reach a steady-state over time.A response icon14A response icon14
InSide Notes by Carolina BentobyCarolina Bento·Sep 9, 2024Running — The Ultimate ResetThe pavement is uneven, the sun is high. The body moves rhythmically, but the mind is still, it’s all quiet up there.
InSide Notes by Carolina BentobyCarolina Bento·Jul 28, 2024Porque é que corres aqui? || Why are you running here?São como torres de carbono || Like towers made of carbon
InTDS ArchivebyCarolina Bento·Dec 28, 2022ROC Analysis and the AUC — Area Under the CurveExplained with a real life example in PythonA response icon8A response icon8
InTDS ArchivebyCarolina Bento·Aug 19, 2021Gradient Boosted Decision Trees explained with a real-life example and some Python codeGradient Boosting algorithms tackle one of the biggest problems in Machine Learning: bias.A response icon1A response icon1
InTDS ArchivebyCarolina Bento·Jul 12, 2021Random Forests Algorithm explained with a real-life example and some Python codeRandom Forests is a Machine Learning algorithm that tackles one of the biggest problems with Decision Trees: variance.A response icon6A response icon6
