Koen PetersinTowards Data ScienceImplementing AI is like buying and driving a car (but different)An analogy to help explain common myths and pitfalls to management8 min read·Jan 18, 2023--2--2
Koen PetersinTowards Data ScienceLSTM for predictive maintenance of turbofan enginesExplaining sequence generation, padding and hyperparameter tuning for FD004·13 min read·Dec 13, 2020--1--1
Koen PetersinTowards Data ScienceLagged MLP for predictive maintenance of turbofan enginesOperating condition-based standardization and hyperparameter tuning for FD002·15 min read·Nov 29, 2020--1--1
Koen PetersinTowards Data SciencePrimer on developing reproducible Neural Networks in Jupyter NotebookIt takes more than just setting the seed for iterative development·5 min read·Nov 15, 2020--3--3
Koen PetersinTowards Data ScienceRandom Forest for predictive maintenance of turbofan enginesExploratory Data Analysis and hyper parameter tuning for FD003·12 min read·Nov 1, 2020----
Koen PetersinTowards Data ScienceSurvival analysis for predictive maintenance of turbofan enginesExplaining hazards and example implementation·10 min read·Oct 17, 2020--7--7
Koen PetersinTowards Data ScienceTime series analysis for predictive maintenance of turbofan enginesUsing distributed lag models to predict remaining useful life·10 min read·Oct 4, 2020--3--3
Koen PetersinTowards Data ScienceThe importance of problem framing for supervised predictive maintenance solutionsRevisiting our assumption of Remaining Useful Life & Support Vector Regression·8 min read·Sep 20, 2020--4--4
Koen PetersinTowards Data SciencePredictive maintenance of turbofan enginesExploratory data analysis and baseline linear regression model9 min read·Sep 7, 2020----