How to Check If a Website Is Safe to Use

The internet is full of useful websites, but it also contains many unsafe pages designed to steal your personal information, infect your device with malware, or trick you into scams. Whether you shop online, log in to banking sites, or browse daily information, checking website safety is extremely important. A few simple checks can help you protect your privacy, money, and data. In this article, you’ll learn practical and easy ways to verify if a website is safe to use. Check for HTTPS and the Padlock Icon The first step is to look at the website link. A safe website starts with HTTPS , not just HTTP. The “S” means “Secure” and tells you that your connection is encrypted. You will also see a small padlock icon in the browser address bar. This prevents hackers from stealing information like passwords or payment details. However, remember that HTTPS alone is not a complete guarantee—many fake websites now use HTTPS too. Look Closely at the URL Cybercriminals often create fake website...
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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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