PinnedDr. Robert KüblerinTowards Data ScienceA Practitioner’s Guide to Reinforcement LearningTake your first steps in writing game-winning AI agentsNov 18, 20236Nov 18, 20236

PinnedDr. Robert KüblerinTowards Data ScienceTheoretical Deep Dive Into Linear RegressionLearn about why linear regression is how it is, and how to naturally extend it in various waysJun 23, 20233Jun 23, 20233

PinnedDr. Robert KüblerinTowards Data ScienceIntroduction to Embedding-Based Recommender SystemsLearn to build a simple matrix factorization recommender in TensorFlowJan 25, 20235Jan 25, 20235

PinnedDr. Robert KüblerinTowards Data ScienceUpgraded Marketing Mix Modeling in PythonMake my mediocre marketing mix model much more mightySep 23, 202136Sep 23, 202136

PinnedDr. Robert KüblerinTowards Data ScienceInterpretable Neural Networks With PyTorchLearn how to build feedforward neural networks that are interpretable by design using PyTorchDec 17, 20215Dec 17, 20215

Dr. Robert KüblerinTowards Data ScienceHow to Forecast Hierarchical Time SeriesA beginner’s guide to forecast reconciliationAug 203Aug 203

Dr. Robert KüblerinAll About AlgorithmsHow to Sort in O(n)Or less clickbaity: O(n+k), where k is the range of valuesAug 5Aug 5

Dr. Robert KüblerinAll About AlgorithmsSolve Problem A With Algorithms for Problem BLearn about the supreme discipline of theoretical computer science: reductions!Apr 4Apr 4

Dr. Robert KüblerinTowards Data ScienceTARNet and Dragonnet: Causal Inference Between S- And T-LearnersLearn how to build neural networks for direct causal inferenceMar 51Mar 51

Dr. Robert KüblerinTowards Data ScienceEasy Methods for Causal InferenceUse your favorite models in combination with meta-learners to make valid causal statementsFeb 202Feb 202