Learn Machine Learning with Applications in Information Security

Download free Machine Learning with Applications in Information Security complete course. This course is very useful for those who want to learn machine learning complete course with its applications. Machine learning is used in vey important problems which are likely speech recognition, natural language processing, stock market analysis, information security and many other which you will learn in this course. In this course you will  get a providing a reasonable level of detail for a a lot variety of machine learning algorithms.

Information security is the practice of protecting information by reduce information risks. Information security is a part of information risk management. Information security have three purpose that are:

  • Confidentiality
  • Integrity
  • Availability

Main examples of information security have Unauthorized use of systems,  Denial of service attack, Computer system intrusion, Unauthorized changes to data,  Compromised user accounts, Loss of equipment which we used to work with sensitive university data. The main goal of information security is loss of integrity, loss of confidentiality for systems and data and preventing the loss of availability.

Following topics that we learn in this course:

  • Firstly, we will discuss introduction of machine learning.


  • Then we will study tools of trade.


  • Introduction of revealing hidden markov models.


  • Detail of three problems with their solution.


  • Detail of dynamic programming and scaling.


  • Detail of bottom line.


  • Introduction, notation and overview of  full frontal view of profile hidden markov models.


  • Multiple Sequence Alignment of full frontal view of profile hidden markov models.


  • Introduction of principle components of  principle components analysis.


  • Geometric View of Eigenvectors complete detail.


  • Detail of Reassuring Introduction to Support Vector Machines.


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