Machine Learning in Cyber Security

Overview

The use of machine learning in cyber security and the ability to protect us from CYBERATTACKS with the help of machine learning terms is the most important and now a days issue to provide protection everyone and provides a safe zone to everyone. It is very important to scrutinize the cyber security with the help of Artificial Intelligence Machine Learning and Deep Learning. Because now a days it is very important and compulsory to secure everyone with some new terms which provides every one very relaxing environment to chilling and working outside in good conditions. When we talk about machine learning and cyber security so it is not too much good match and it will never be a silver bullet for cyber security as compared to image recognition or natural language processing because in two fields machine learning provides developing term but somehow or unfortunately it have not good match for cyber security.

Terminologies of machine learning

1. Artificial intelligence is a broad concept in developing new things in advance world to facilitate the people. With the help of artificial intelligence Science is making things which is more smart or in other words these smart things are working as human tasks performed by machines some examples of artificial machines are Visual Recognition and NLP etc. when we focus on artificial intelligence so it is not exactly machine learning or smart things. Artificial intelligence is only classic program installed in your robot for the detection. In short artificial intelligence performed different tasks by robots which performed by robots but provides the ease to people.
2. Machine learning have just one of many approaches to AI which is uses as a system that is capable or exactly appropriate of learning from experience from the past projects. It is important not only for artificial intelligence goals but also for copying human behavior and it can also reduce or decrease the efforts or time which is spent for both simple and difficult tasks for example like stock price prediction. In simple words the machine learning is a system which is provides the best ever patterns to the users because machine learning work according to algorithm which is must use in machine learning and it can recognize patterns by using examples rather than by programming them in all means. In constant type system if any one work on these type of system so it makes decisions based on data like decision tree and other approaches rather than algorithms and change its behavior which is totally based on the Machine Learning.
3. Deep learning is a set of Techniques for implementing machine learning in the overall project which recognize patterns of patterns further all on it. It is clear by a example like image recognition which is detection of pixels. Deep learning approach provides The systems to identify primarily object and their edges and a structure and also an object type or then an object itself. the main aim of deep learning is to provides the exact and accurate systems .