Study guides, Class notes & Summaries

Cover the following Syllabus : Kernel Machines - Support Vector Machine - Optimal Separating hyper plane, Soft margin hyperplane, Kernel trick, Kernel functions. Discrete Markov Processes, Hidden Markov models, Three basic problems of HMMs - Evaluation problem, finding state sequence, Learning model parameters. Combining multiple learners, Ways to achieve diversity, Model combination schemes, Voting, Bagging, Booting

It give the introductory details about Machine Learning and it's basics

Threats- Deliberate software attacks, Deviation in quality of service, Attacks- malicious code, brute force, Timing attack, sniffers

Introduction Of Information Security: Overview of computer security, Security concepts, Need of Security