Course features
- Duration
- Skill level
- Language
- Student Enrolled
- 5 Days
- Intermediate
- English
- 25
COURSE DESCRIPTION
Machine learning (ML) training programmes show students through practical application how to use tools and strategies for solving issues in a variety of industries. Python, R, and Matlab are just a few of the programming languages and frameworks that are covered in NobleProg ML courses. Finance, banking, and insurance are just a few of the industries for which machine learning courses are available. These courses teach both the principles of machine learning as well as more sophisticated techniques like deep learning.
WHATWILL YOU LEARN
- Apply SVMs to practical applications: image recognition, spam detection, medical diagnosis, and regression analysis.
- Use Lagrangian Duality to derive the Kernel SVM
- Support Vector Regression
- Build your own RBF Network and other Neural Networks based on SVM
- Understand the theory behind SVMs from scratch (basic geometry)
- Understand how Quadratic Programming is applied to SVM
- Polynomial Kernel, Gaussian Kernel, and Sigmoid Kernel