Machine Learning

Completed by Mark Farmer

August 17, 2024

Approximately 2 months at 10 hours a week to complete

Course Certificates Completed

Supervised Machine Learning: Regression and Classification

Advanced Learning Algorithms

Unsupervised Learning, Recommenders, Reinforcement Learning

View certificate for Mark Farmer, Machine Learning, offered through Coursera. 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!

Course Certificates

Earned after completing each course in the Specialization

Supervised Machine Learning: Regression and Classification

DeepLearning.AI & Stanford University

Taught by: Andrew Ng, Aarti Bagul, Geoff Ladwig & Eddy Shyu

Completed by: Mark Farmer by July 13, 2024

At the rate of 5 hours a week, it typically takes 3 weeks to complete this course.

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Advanced Learning Algorithms

DeepLearning.AI & Stanford University

Taught by: Andrew Ng, Aarti Bagul, Geoff Ladwig & Eddy Shyu

Completed by: Mark Farmer by August 1, 2024

At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.

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Unsupervised Learning, Recommenders, Reinforcement Learning

DeepLearning.AI & Stanford University

Taught by: Andrew Ng, Aarti Bagul, Geoff Ladwig & Eddy Shyu

Completed by: Mark Farmer by August 17, 2024

At the rate of 5 hours a week, it typically takes 3 weeks to complete this course.

View this certificate