HomeLibrarySupervised & Unsupervised Learning

Cover of Supervised & Unsupervised Learning

Accessible digital edition

DIGITAL E-BOOKGraduate

EXPLORE THIS TITLE

Supervised & Unsupervised Learning

Graduate Program in Business Analytics

Explore Supervised & Unsupervised Learning as part of Graduate Program in Business Analytics. Read the syllabus and available chapters online.

Academic programmeGraduate Program in Business Analytics

LevelGraduate

Reading sections16

SourceLibrary syllabus and chapters

No account needed • Read on any device

INSIDE THE BOOK

Explore the chapters.

Jump into any section and continue reading at your own pace.

Supervised & Unsupervised LearningSyllabus

Foundations Of Statistical And Machine LearningChapter 1

Business Problem Formulation And Analytics WorkflowChapter 2

Data Preparation And Feature EngineeringChapter 3

Regression And Regularized Predictive ModelsChapter 4

Classification And Probability EstimationChapter 5

Decision Trees And Ensemble LearningChapter 6

Margin Based Kernel And Neural LearningChapter 7

Model Evaluation Selection And TuningChapter 8

Clustering And Business SegmentationChapter 9

Dimensionality Reduction And Latent StructureChapter 10

Association Pattern Discovery And Anomaly DetectionChapter 11

Explainability And Decision Centered AnalyticsChapter 12

Deployment Mlops And Scalable Learning SystemsChapter 13

Ethics Risk And Machine Learning GovernanceChapter 14

Enterprise Applications And Emerging DirectionsChapter 15