In this Blog, Let's know the difference between two of the most commonly used terms in the tech industry: Machine Learning and Artificial Intelligence.
Both Machine Learning (ML) and Artificial Intelligence (AI) both are part of computer science. But they are not the same. So, what are the differences?
Machine learning is a type of AI that allows machines to learn from data without being told what to do. By analyzing large amounts of data, machine learning algorithms can identify patterns, make predictions, and automate tasks. This is useful in many industries where data can be analyzed to improve efficiency. There are different types of machine learning, such as supervised, unsupervised, and reinforcement learning. Machine learning is already being used in many applications, such as speech recognition and recommendation systems. We can expect to see even more exciting applications in the future.
On the other hand, Artificial Intelligence (AI) is a type of computer technology that enables machines to perform tasks that would typically require human intelligence, such as learning, problem-solving, and decision-making. The goal of AI is to create machines that can operate autonomously and learn from experience, ultimately improving their ability to perform complex tasks without human intervention.
In summary, Machine Learning is a technique that enables machines to learn from data, while Artificial Intelligence is a broader concept that includes machines' ability to perform tasks that typically require human intelligence.
I hope this article has helped you to understand the difference between Machine Learning and Artificial Intelligence. If you have any questions , leave a comment .