Ethical hacking is the process of attempting to penetrate computer systems and networks with the intention of locating weaknesses and vulnerabilities (real and potential) that could be exploited by malicious hackers. Any information uncovered is then used to improve the system’s security and plug loopholes. Sound interesting? Then an online ethical hacking course is for you.

Ethical hacking is sometimes referred to as penetration testing, intrusion testing, or red teaming. There are many types of hackers, and ethical hackers are usually referred to as white hat hackers. This skill is in high demand and a white hat hacking course can jumpstart your cybersecurity career.

 

Machine Learning evolved from computer science that primarily studies the design of algorithms that can learn from experience. To learn, they need data that has certain attributes based on which the algorithms try to find some meaningful predictive patterns. Majorly, ML tasks can be categorized as concept learning, clustering, predictive modeling, etc. The ultimate goal of ML algorithms is to be able to take decisions without any human intervention correctly. Predicting the stocks or weather are a couple of applications of machine learning algorithms.

There are various machine learning algorithms like Decision trees, Naive Bayes, Random forest, Support vector machine, K-nearest neighbor, K-means clustering, etc.

From the class of machine learning algorithms, the one that you will be using today is k-nearest neighbor.

Now, the question is what exactly is K-Nearest Neighbor algorithm, so let us find out!

Machine Learning evolved from computer science that primarily studies the design of algorithms that can learn from experience. To learn, they need data that has certain attributes based on which the algorithms try to find some meaningful predictive patterns. Majorly, ML tasks can be categorized as concept learning, clustering, predictive modeling, etc. The ultimate goal of ML algorithms is to be able to take decisions without any human intervention correctly. Predicting the stocks or weather are a couple of applications of machine learning algorithms.

There are various machine learning algorithms like Decision trees, Naive Bayes, Random forest, Support vector machine, K-nearest neighbor, K-means clustering, etc.

From the class of machine learning algorithms, the one that you will be using today is k-nearest neighbor.

Now, the question is what exactly is K-Nearest Neighbor algorithm, so let us find out!