PinnedRobert KwiatkowskiinStackademicMastering Clustering — DBSCANHow to correctly and efficiently cluster geographical data with DBSCANApr 17Apr 17

PinnedRobert KwiatkowskiinTowards Data ScienceMonte Carlo Simulation — a practical guideA versatile method for parameters estimation. Exemplary implementation in Python programming language.Jan 31, 20227Jan 31, 20227

PinnedRobert KwiatkowskiinTowards Data ScienceGradient Descent Algorithm — a deep diveThe Gradient Descent method lays the foundation for machine learning and deep learning techniques.May 22, 202112May 22, 202112

Robert KwiatkowskiIs Moore’s Law Dead? Dying? Or still Alive?Looking into technical details behind Moore’s Law.Mar 51Mar 51

Robert KwiatkowskiinTowards Data ScienceWhen CPU is faster than GPU — typical casesHow to choose the hardware to optimize the computation for your use caseMay 21, 20231May 21, 20231

Robert KwiatkowskiinTowards Data ScienceLightweight Introduction to MLOpsHow and where the MLOps journey starts — basic building blocksNov 9, 20222Nov 9, 20222

Robert KwiatkowskiinTowards Data ScienceBackpropagation — chain rule and PyTorch in actionA simple guide from a theory to the implementation in Pytorch.Jul 6, 20222Jul 6, 20222

Robert KwiatkowskiinTowards Data ScienceBatch, Mini-Batch and Stochastic Gradient Descent for Linear RegressionImplementation and comparison of three basic Gradient Descent variantsJun 15, 2021Jun 15, 2021

Robert KwiatkowskiinThe StartupShort Introduction to the Internet of Things (IoT)Smart homes and cities, Industry 4.0, drones and moreJul 31, 20201Jul 31, 20201

Robert KwiatkowskiinTowards Data ScienceOptimizing Number of your Job Interviews with Binomial Distribution and PythonLearn how to maximize the chances of getting a work offer by optimizing the number of interviews per month using a statistical approach…Apr 27, 2020Apr 27, 2020