Machine Learning Foundations
Supervised and unsupervised learning, neural networks, and model evaluation
Target Audience: Software engineers moving into ML
Difficulty: Advanced
Structure: 5 modules, 14 lessons
| Responsible | Administrator |
|---|---|
| Last Update | 04/19/2026 |
| Members | 1 |
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Introduction to Machine Learning6Lessons ·
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What is Machine Learning?
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What is Machine Learning? - Quiz10 xp
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Applications of Machine Learning
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Applications of Machine Learning - Quiz10 xp
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Overview of ML Types
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Overview of ML Types - Quiz10 xp
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Supervised Learning Techniques6Lessons ·
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Linear Regression
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Linear Regression - Quiz10 xp
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Classification Algorithms
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Classification Algorithms - Quiz10 xp
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Model Evaluation
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Model Evaluation - Quiz10 xp
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Unsupervised Learning Techniques6Lessons ·
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Clustering Techniques
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Clustering Techniques - Quiz10 xp
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Dimensionality Reduction
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Dimensionality Reduction - Quiz10 xp
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Evaluating Unsupervised Models
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Evaluating Unsupervised Models - Quiz10 xp
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Neural Networks and Deep Learning6Lessons ·
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Introduction to Neural Networks
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Introduction to Neural Networks - Quiz10 xp
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Building a Neural Network
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Building a Neural Network - Quiz10 xp
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Advanced Topics in Deep Learning
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Advanced Topics in Deep Learning - Quiz10 xp
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Model Evaluation and Selection4Lessons ·
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Cross-Validation Techniques
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Cross-Validation Techniques - Quiz10 xp
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Hyperparameter Tuning
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Hyperparameter Tuning - Quiz10 xp
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