Genetic Algorithms

From: https://towardsdatascience.com/genetic-algorithms-terminology-implementation-with-a-base-10-genotype-in-python-and-a-f9b290cf86d4 In this article, I cover the terminology needed to get acquainted with genetic algorithms, walk through an example where we would like a high-precision estimator of the optima for a single-objective optimization problem, then discuss the importance of parameter tuning and the forces that drive the evolution of a genetic algorithm’s population. Genetic … Continue reading Genetic Algorithms

How to Develop 1D Convolutional Neural Network Models for Human Activity Recognition

From: https://machinelearningmastery.com/cnn-models-for-human-activity-recognition-time-series-classification/ Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined movements. Classical approaches to the problem involve hand crafting features from the time series data based on fixed-sized windows and training machine learning models, such as ensembles of decision trees. The … Continue reading How to Develop 1D Convolutional Neural Network Models for Human Activity Recognition