Kathrin MelcherinLow Code for Data ScienceFrom a Single Decision Tree to a Random ForestThe algorithm behind the growth of a decision tree, quality measures, overfitting, and random forests of decision treesSep 7, 2022Sep 7, 2022
Kathrin MelcherinLow Code for Data ScienceFraud Detection using Random Forest, Neural Autoencoder, and Isolation Forest techniquesA codeless approach to advanced analytics with KNIMEAug 1, 2022Aug 1, 2022
Kathrin MelcherinLow Code for Data Science“Once Upon A Time … “ by LSTM NetworkTeach your AI to generate fairy tales with KNIMEJul 22, 2022Jul 22, 2022
Kathrin MelcherinLow Code for Data ScienceA Friendly Introduction to [Deep] Neural NetworksLearn the basics and start define, train and apply your codeless modelsMay 18, 20221May 18, 20221
Kathrin MelcherinLow Code for Data ScienceText Encoding: A ReviewFour techniques to let your machine read a textJan 17, 2022Jan 17, 2022
Kathrin MelcherinLow Code for Data ScienceA Keras Model Learns to Play PianoTraining an RNN with a Combined Loss FunctionSep 17, 2021Sep 17, 2021
Kathrin MelcherinLow Code for Data ScienceIntroduction to Convolutional Neural Networks and Computer VisionConvolution neural networks (CNN) are commonly used to solve computer vision tasks. This blog post introduces you to the topic of computer…Aug 20, 2021Aug 20, 2021
Kathrin MelcherinLow Code for Data ScienceMultivariate Time Series AnalysisAn all-codeless solution using visual programmingJul 7, 2021Jul 7, 2021
Kathrin MelcherinLow Code for Data ScienceRegularization for Logistic Regression: L1, L2, Gauss or Laplace?Regularization can be used to avoid overfitting. But what is regularization, what are the common techniques, and how do they differ?Jun 21, 2021Jun 21, 2021
