Online Machine Learning tutor

Updated: April 13, 2024 02:42 PM GMT

Work from home Job in Mathikere, Karnataka

TeacherOn.com

Anywhere

Need someone who can teach me these topics very well.
Unit-1
Introduction: Example machine learning applications
Perceptron Algorithm: Training a perceptron, Learning Boolean functions, Multilayer perceptrons
Supervised Learning: Noise, Learning multiple classes, Regression, Model selection, and
generalization
Bayesian Decision Theory: Classification, Losses and Risks, Discriminant functions, Association
Rules
Unit II
Parametric Methods: Maximum likelihood estimation, Evaluating an estimator, Bayes estimator,
Parametric classification, Regression, Tuning model capacity
Dimensionality Reduction: Subset Selection, Principal Component Analysis (PCA), SVD and
Matrix factorization, Linear Discriminant Analysis (LDA)
Decision Trees: Univariate and Multivariate trees

Level: Bachelors/Undergraduate

Gender Preference: None

Meeting options:
Available online - via skype etc. More Detail