Artificial Intelligence Vs Machine Learning

Artificial Intelligence Vs Machine Learning

Intro

Both Artificial Intelligence and Machine Learning are two marvelous and phenomenal technologies. With the help of these technologies, any company takes its business to new heights. However, many people think that both AI and ML are the same thing and there is no difference between them. But there are a lot of differences between machine learning and AI. For instance, ML involves extracting knowledge from data. On the other hand, the latter involves making computer systems mimic the capabilities/abilities of human intelligence. Similarly, the goal of ML is to develop and train algorithms/models with data so that they can give the right output. On the other hand, the aim of AI is to develop systems that have the capabilities of the human mind. In other words, these two technologies are not identical/similar and have many differences. Keeping this in mind, today we are sharing with you everything that you need to know about ML and AI.

Here is everything that you need to know about machine learning & artificial intelligence.

What Is Artificial Intelligence?

Basically, it is a field of computer science that involves making computer systems mimic the abilities of human intelligence. The main aim of the technology is to help its users perform complex tasks with human interference. Although AI systems only follow a particular set of instructions, these systems can also learn from interactions with humans. In other words, AI systems can improve their performance and efficiency with human interactions. Following are some sub-fields of AI field:

Benefits

Following are some of the major benefits of using AI:

  • With the help of technology, firms can reduce the chances of errors in their work.
  • Systems that are built using the technology are available 24/7.
  • With the help of technology, firms can perform repetitive tasks more efficiently and quickly. Moreover, these systems also don’t need to take any breaks to perform properly & efficiently.
  • By using AI technologies firms can get access to great insights that help them take better business decisions.
  • AI systems can help firms perform dangerous tasks without putting the life of humans on the line.
  • With AI systems firms can provide better customer experience to their customers.

What Is Machine Learning?

Basically, it is a sub-field of AI that involves extracting knowledge from data. The main aim of ML technology is to train algorithms with large volumes of data for performing complex tasks. For instance, ML algorithms can perform complex tasks like sorting images, analyzing big data, making predictions, etc. This is why many firms nowadays heavily use ML algorithms in their enterprises. In other words, it can be worthwhile for companies to use machine learning.

Benefits

Following are some of the major benefits of using ML:

  • With the help of technology, a firm can cut down its downtime/human workload.
  • By using the technology, you can create algorithms that are capable of performing complex tasks.
  • By using ML models, you can quickly find patterns in data and assess the data more efficiently.
  • ML models are capable of making future predictions. For instance, by using the models a firm can easily predict the buying behavior of its customers.
  • By using ML models firms can develop better products and services for their customers.
  • Using ML models firms can detect abnormal behavior on their sites and prevent fraud.

Artificial Intelligence Vs Machine Learning

Following are some of the major differences between AI and ML:

  • ML is basically a sub-field of the AI field. On the other hand, AI is a very broad field and comprises four sub-fields. To learn about sub-fields of AI in detail feel free to join our Artificial Intelligence Online Training.
  • The goal of ML is to develop and train algorithms/models with data so that they can give the right output. On the other hand, the aim of AI is to develop systems that have the capabilities of the human mind.
  • ML involves training models using data to perform specific tasks. On the other hand, the latter involves developing intelligent systems that can perform complex tasks.
  • ML models can’t learn themselves and improve their efficiency. On the other hand, artificial intelligence systems can learn from themselves and improve their efficiency.

Conclusion

As you can see there are many differences between ML and AI. For instance, ML involves extracting knowledge from data. On the other hand, the latter involves making computer systems mimic the capabilities/abilities of human intelligence. Moreover, the aim of ML systems is to help in making predictions. On the other hand, the aim of AI systems is to perform complex tasks efficiently. So, don’t think there are no differences between AI and ML. There are many differences between both of these outstanding technologies. Furthermore, the technologies also serve different purposes.