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Machine Learning Basics

Bachelors Program in AI & ML

Explore Machine Learning Basics as part of Bachelors Program in AI & ML. Read the syllabus and available chapters online.

Academic programmeBachelors Program in AI & ML

LevelBachelor

Reading sections16

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Machine Learning BasicsSyllabus

Foundations And Landscape Of Machine LearningChapter 1

Mathematical And Statistical FoundationsChapter 2

Problem Framing And The Machine Learning LifecycleChapter 3

Data Preparation And Feature EngineeringChapter 4

Regression ModelsChapter 5

Classification ModelsChapter 6

Model Evaluation Selection And TuningChapter 7

Unsupervised Learning And Dimensionality ReductionChapter 8

Ensemble LearningChapter 9

Neural Networks And Deep Learning FoundationsChapter 10

Applied Machine Learning Workflows And ToolsChapter 11

Deployment Mlops And Model MonitoringChapter 12

Explainable Ethical And Secure Machine LearningChapter 13

Decision Analytics Management And Digital TransformationChapter 14

Emerging Trends And Future DirectionsChapter 15