Machine Learning Advance Training

Advanced topics in machine learning including: Linear Modeling, Nonlinear Dimension Reduction, Maximum Entropy, Exponential Family Models, Conditional Random Fields, Graphical Models, Structured Support Vector Machines, Feature Selection, Kernel Selection, Meta-Learning, Multi-Task Learning, Semi-Supervised Learning, Graph-Based Semi-Supervised Learning, Approximate Inference, Clustering, and Boosting. .

Who Should Do ?

Technical Managers, Consultants, Communications Professionals, Software engineers, System Engineers, Network Professionals, Marketing and Sales professional, IT professionals.


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"I've been to a different training facilities for other technologies, and this is one of the few where I've left feeling like I've learned more than I expected.
Eduardo Moreno, USA

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