Machine Learning

Stanford University
Machine Learning certificate
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Issued
February 29, 2024
Credential ID
ACPWDVZNFVVG

Overview

Congratulations on completing all three courses of the Machine Learning Specialization! You studied modern machine learning concepts, including supervised learning (linear regression, logistic regression, neural networks, decision trees), unsupervised learning (clustering, anomaly detection), recommender systems, and reinforcement learning. You learned some of the best practices for building machine learning models. You've also gained practical skills to apply machine learning techniques to challenging real-world problems. Now #BreakIntoAI and start building your career in machine learning!

Courses Included

This 3-course specialization includes:

1
Supervised Machine Learning: Regression and Classification
2
Advanced Learning Algorithms
3
Unsupervised Learning, Recommenders, Reinforcement Learning

Skills & Technologies

Machine LearningSupervised LearningUnsupervised LearningLinear RegressionLogistic RegressionNeural NetworksDecision TreesClusteringAnomaly DetectionRecommender SystemsReinforcement LearningStanford

Verification

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Derril Filemon — Senior AI Engineer & Full-Stack Developer