Lee TanenbauminTowards Data ScienceML Intro 7: Local Connections and Spatial Parameter Sharing (Abbreviated Convolutional Layers)This post follows ML intro 3 or ML intro 6. We assume you intuitively understand the power of stacking linear regression layers with…Apr 11, 20192Apr 11, 20192
Lee TanenbauminTowards Data ScienceML Intro 6: Reinforcement Learning for non-Differentiable FunctionsThis post will follows this series, but represents a significant transition point. We are now done with the problem of teaching supervised…Nov 26, 20181Nov 26, 20181
Lee TanenbauminTowards Data ScienceML Intro 5: One hot Encoding, Cyclic Representations, NormalizationThis post follows Machine Learning Introduction 4. In the previous post, we described Machine Learning for marketing attribution. In this…Nov 12, 20181Nov 12, 20181
Lee TanenbauminTowards Data ScienceML Intro 4: Performance Measuring and RegularizationThis post follows Machine Learning Introduction 3. We will apply machine learning to a simulated dataset and explore how we measure…Oct 21, 2018Oct 21, 2018
Lee TanenbauminTowards Data ScienceML Intro 3: Logistic Output UnitsThis post follows Machine Learning Introduction 2. We will apply machine learning to House Sales Estimation. Within Machine Learning, we…Oct 14, 2018Oct 14, 2018
Lee TanenbauminTowards Data ScienceMachine Learning Introduction 2: Our first ExampleThis post follows Machine Learning Introduction 1. We will apply machine learning to marketing analysis as a simple use case with business…Sep 22, 2018Sep 22, 2018
Lee TanenbauminDataDrivenInvestorPython Programming Introduction for Machine LearningThis lecture is an optional introduction to Python Programming for Machine Learning following up from A Machine Learning Preface, where we…Sep 16, 2018Sep 16, 2018
Lee TanenbaumPython setup for ML for Windows Users1- download anaconda: https://www.anaconda.com/download/Sep 11, 2018Sep 11, 2018
Lee TanenbauminTowards Data ScienceMachine Learning Engineering 1: House Sales Estimation.This blog post will be the first lesson of how to think as a Machine Learning (ML) Engineer. We will be working on a supervised learning…Aug 25, 2018Aug 25, 2018
Lee TanenbauminDataDrivenInvestorMachine Learning Introduction 1This is an introductory course on Machine Learning, day 1 introducing core modeling approaches and necessary intuitive math.Aug 25, 2018Aug 25, 2018