intermediateCertificate$199
Machine Learning Fundamentals
by Sanjoy Dasgupta · edX
4.5(1,800 reviews)
50K+ enrolled10 weeksUpdated 2024-07
What You'll Learn
Understand the fundamentals and key concepts of machine learning
Apply machine learning techniques to solve real-world problems
Understand the fundamentals and key concepts of SVMs
Apply SVMs techniques to solve real-world problems
Understand the fundamentals and key concepts of decision trees
Apply decision trees techniques to solve real-world problems
About This Course
UC San Diego course covering nearest neighbors, generative models, SVMs, kernels, and decision trees with mathematical rigor.
Curriculum
Module 1: Machine learning & SVMs6 lessons
- Introduction to machine learning
- Machine learning in Practice
- Hands-on Exercise: Machine learning
- Introduction to SVMs
- SVMs in Practice
- Hands-on Exercise: SVMs
Module 2: Decision trees & Classification6 lessons
- Introduction to decision trees
- Decision trees in Practice
- Hands-on Exercise: Decision trees
- Introduction to classification
- Classification in Practice
- Hands-on Exercise: Classification
Module 3: Supervised learning3 lessons
- Introduction to supervised learning
- Supervised learning in Practice
- Hands-on Exercise: Supervised learning
Instructor
Sanjoy Dasgupta
Instructor at edX
Pros & Cons
Pros
- Offers a certificate of completion
- High-quality video lectures
- Taught by Sanjoy Dasgupta
- Well-structured curriculum
Cons
- Requires paid subscription
- Self-paced requires discipline
$199
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