- Machine Learning concepts and applications
- Supervised vs. unsupervised learning
- Neural networks: types, architectures, and comparison with biological networks
- Regression analysis: linear regression, least squares regression
- Error Back Propagation Algorithm
- Diagonalization of matrices
- Overfitting and underfitting
- Activation functions: binary, bipolar, continuous, ramp
- Ridge and Lasso Regression
- Curse of dimensionality
- PCA dimensionality reduction technique
- Performance measures for evaluating models
- Perceptron model and its variations
- Steps in developing a Machine Learning application
- LMS-Widrow Hoff algorithm
- Maximization algorithm for clustering
1 answer
Your answer
Log in or create a free account to answer this question.