Cybercrime and How to Protect Your Data

Nowadays a large part of our life has become digital. Mobile phones, computers, internet and social media are part of our daily routine. We shop online, pay bills, do banking, study, entertain ourselves. But as fast as technology is growing, cybercrime is also increasing at the same pace. If we are not careful, our money, identity and personal information can all be in danger. In this blog, we will learn in detail what cybercrime is, how many types are there, how it can harm us and most importantly - what we should do to avoid it. This blog is long and in easy language so that you can understand the entire information easily. What is Cybercrime? When a person misuses the internet, computer, mobile or digital platform to harm someone, steal data, grab money, threaten or cheat, it is called cybercrime . This is a crime whose perpetrator is often not in front of you. He can enter your system from any corner of the world and you do not even know. The person committing cybercrime is c...
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What's the Difference Between AI and Machine Learning?

Creating intelligent agents—systems that can perceive their surroundings, learn from past experiences, and make decisions to accomplish certain objectives—is the focus of the large subject of computer science known as artificial intelligence (AI). By essentially imitating human intellect, artificial intelligence (AI) enables robots to carry out activities that otherwise require human reasoning.

Difference Between AI and Machine Learning

In contrast, machine learning (ML) is a branch of artificial intelligence that focuses on techniques that let computers learn from data without the need for explicit programming. Machine learning algorithms find patterns in data and use those patterns to anticipate or decide.

Use this analogy to demonstrate the distinction:
  • The driver's license is AI: It's the general idea that a computer can carry out tasks in an intelligent manner.
  • The driving skill is machine learning, which is a particular method that allows a computer to pick up driving skills via practice and observation.





Important Distinctions:
  • Scope: Artificial Intelligence (AI) is a vast field that includes a variety of methods, such as neural networks, rule-based systems, and expert systems. ML, on the other hand, mostly uses algorithms and statistical methods.
  • AI's objective is to develop intelligent agents that are capable of simulating human intellect. The goal of machine learning is to create algorithms that let computers learn from data.
  • Methods: AI may employ a number of methods, including as neural networks, rule-based systems, and expert systems. To find patterns in data, machine learning mostly use statistical methods and algorithms.




  • Applications: AI is used in many different fields, such as robotics, computer vision, and natural language processing. Predictive analytics, speech recognition, and picture recognition are the main applications of machine learning.
Machine learning is a potent tool in the AI toolbox, even if AI covers a wider variety of methods and applications. We can better appreciate their potential to transform a variety of businesses and enhance our lives if we know the difference between the two. 

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