Piero PaialungainTowards Data ScienceFrom Theory to Practice with Particle Swarm Optimization, Using PythonHere’s a tutorial on what PSO is and how to use it1d ago21d ago2
Piero PaialungainTowards Data ScienceHands-On Global Optimization Methods, with PythonFour methods to find the maximum (or minimum) of your black box objective function4d ago4d ago
Piero PaialungainTowards Data ScienceHands On Neural Networks and Time Series, with PythonFrom the very simple Feed Forward Neural Networks to the majestic transformers: everything you need to knowAug 304Aug 304
Piero PaialungainTowards Data ScienceFeature Extraction for Time Series, from Theory to Practice, with PythonHere’s everything you need to know when extracting features for Time Series analysisAug 242Aug 242
Piero PaialungainTowards Data ScienceHands-on Time Series Anomaly Detection using Autoencoders, with PythonHere’s how to use Autoencoders to detect signals with anomalies in a few lines of codesAug 212Aug 212
Piero PaialungainTowards Data ScienceFrom Surrogate Modelling to Aerospace Engineering: a NASA Case StudyThis is how Surrogate Modelling is revolutionizing the world of Aerospace Engineering, from theory to practiceAug 151Aug 151
Piero PaialungainTowards Data ScienceWhich Regression technique should you use?Here’s a taxonomy of what is the best regression technique based on your specific datasetAug 103Aug 103
Piero PaialungainTowards Data ScienceHands on Career Path Modelling Using Markov Chain, with PythonThis is how I used basic probability to simulate career developmentJul 29Jul 29
Piero PaialungainTowards Data ScienceHands On Optimization with Expected Improvement and Gaussian Process Regression, in PythonA friendly guide to Expected Improvement for Global Optimization, in PythonJun 92Jun 92
Piero PaialungainTowards Data ScienceHands-On Building a Virtual Property Consultant Using Artificial IntelligenceThis is how I used real estate data and powered them using OpenAI Large Language Model GPT3Apr 67Apr 67
