Koen PetersinTowards Data ScienceImplementing AI is like buying and driving a car (but different)An analogy to help explain common myths and pitfalls to managementJan 18, 20232Jan 18, 20232
Koen PetersinTowards Data ScienceLSTM for predictive maintenance of turbofan enginesExplaining sequence generation, padding and hyperparameter tuning for FD004Dec 13, 20201Dec 13, 20201
Koen PetersinTowards Data ScienceLagged MLP for predictive maintenance of turbofan enginesOperating condition-based standardization and hyperparameter tuning for FD002Nov 29, 20201Nov 29, 20201
Koen PetersinTowards Data SciencePrimer on developing reproducible Neural Networks in Jupyter NotebookIt takes more than just setting the seed for iterative developmentNov 15, 20203Nov 15, 20203
Koen PetersinTowards Data ScienceRandom Forest for predictive maintenance of turbofan enginesExploratory Data Analysis and hyper parameter tuning for FD003Nov 1, 2020Nov 1, 2020
Koen PetersinTowards Data ScienceSurvival analysis for predictive maintenance of turbofan enginesExplaining hazards and example implementationOct 17, 20207Oct 17, 20207
Koen PetersinTowards Data ScienceTime series analysis for predictive maintenance of turbofan enginesUsing distributed lag models to predict remaining useful lifeOct 4, 20203Oct 4, 20203
Koen PetersinTowards Data ScienceThe importance of problem framing for supervised predictive maintenance solutionsRevisiting our assumption of Remaining Useful Life & Support Vector RegressionSep 20, 20204Sep 20, 20204
Koen PetersinTowards Data SciencePredictive maintenance of turbofan enginesExploratory data analysis and baseline linear regression modelSep 7, 2020Sep 7, 2020
