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Machine Learning Specialization
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Course 2
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Module 4
Syllabus
Courses
Course Syllabus
Advanced Learning Algorithms
Module 1: Neural Networks
Neural networks intuition
Practice quiz: Neural networks intuition
Neural network model
Practice quiz: Neural network model
TensorFlow implementation
Practice quiz: TensorFlow implementation
Neural network implementation in Python
Practice quiz: Neural network implementation in Python
Speculations on artificial general intelligence (AGI)
Vectorization (optional)
Practice Lab: Neural networks
Module 2: Neural network training
Neural Network Training
Practice quiz: Neural Network Training
Activation Functions
Practice quiz: Activation Functions
Multiclass Classification
Practice quiz: Multiclass Classification
Additional Neural Network Concepts
Practice quiz: Additional Neural Network Concepts
Back Propagation (Optional)
Practice Lab: Neural network training
Module 3: Advice for applying machine learning
Advice for applying machine learning
Practice quiz: Advice for applying machine learning
Bias and variance
Practice quiz: Bias and variance
Machine learning development process
Practice quiz: Machine learning development process
Skewed datasets (optional)
Practice Lab: Advice for applying machine learning
Module 4: Decision trees
Decision trees
Practice quiz: Decision trees
Decision tree learning
Practice quiz: Decision tree learning
Tree ensembles
Practice quiz: Tree ensembles
End of Access to Lab Notebooks
Practice Lab: Decision Trees
Conversations with Andrew (Optional)
Acknowledgments
Acknowledgements
Reading
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