intermediateCertificate$300
Machine Learning with Python: from Linear Models to Deep Learning
by Regina Barzilay & Tommi Jaakkola · edX
4.6(1,800 reviews)
50K+ enrolled15 weeksUpdated 2024-08
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 neural networks
Apply neural networks techniques to solve real-world problems
Understand the fundamentals and key concepts of recommender systems
Apply recommender systems techniques to solve real-world problems
About This Course
MIT course covering linear classifiers, non-linear models, recommender systems, and neural networks with Python.
Curriculum
Module 1: Machine learning & Neural networks6 lessons
- Introduction to machine learning
- Machine learning in Practice
- Hands-on Exercise: Machine learning
- Introduction to neural networks
- Neural networks in Practice
- Hands-on Exercise: Neural networks
Module 2: Recommender systems & Python6 lessons
- Introduction to recommender systems
- Recommender systems in Practice
- Hands-on Exercise: Recommender systems
- Introduction to Python
- Python in Practice
- Hands-on Exercise: Python
Module 3: Classification3 lessons
- Introduction to classification
- Classification in Practice
- Hands-on Exercise: Classification
Instructor
Regina Barzilay & Tommi Jaakkola
Instructor at edX
Pros & Cons
Pros
- Offers a certificate of completion
- High-quality video lectures
- Taught by Regina Barzilay & Tommi Jaakkola
- Well-structured curriculum
Cons
- Requires paid subscription
- Self-paced requires discipline
$300
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