We often use the phrases Artificial Intelligence and Machine Learning as synonyms. We also use the words in place of another while defining them. Well, you will be amazed to know that both these words don’t mean the same.
On the contrary, there are some significant points through which we can say that there are some fundamental differences between AI and Machine Learning. Therefore discussing what are the differences between them, first of all, let us understand what is Artificial Intelligence (AI) and Machine Learning. After that, we will figure out the significant differences between them.
What is AI?
There can be several interpretations of Artificial Intelligence (AI). However, the best explanation is that it is a series of computer programming by which an intended machine can think like human and take its own decision.
So, if you design an Artificial Intelligence, you can expect that to think like a human. Just like you learn something over time, you can expect an AI learn with its past experiences. Thus, over time, it becomes more like a human.
Artificial Intelligence is everywhere from a smartphone application to medical equipment. The development of AI is going to improve in future most dramatically. In future, we can expect that every electronic device will be powered by Artificial Intelligence.
What is Machine Learning?
Compared to an Artificial Intelligence, Machine Learning is a computer-generated series of programs designed to let the machines to learn from its past experiences.
However, you can say, Machine Learning is just a tiny part of the whole AI concept. Yes, it may sound similar, but it is not. While Artificial Intelligence is built to substitute human-made decisions, Machine Learning is more result-oriented. It tends to learn but don’t engage with the overall success of the project. That is why we believe it is a part of the bigger AI universe.
Differences Between AI and Machine Learning
Hope you got the idea of Artificial Intelligence and Machine Learning. Machine Learning is just a part of AI. Now let’s find the differences between AI and Machine Learning.
Here is a list of some significant dissimilarities:
- With AI, you can expect the success rate of a project. So, there is a probability that some of the results may come inaccurate at times. However, with Machine Learning, you can rest assured that the result will come accurate. But as it lacks vision, the success rate of the entire project may get decreased.
- While the AI is an accumulation of several computer programs working at the same time to deliver smarter results, you can say Machine Learning a simple concept machine to learn from the statistics. So, you can expect AI to replicate your skills in the future. Machine Learning, on the other hand, is defined to perform specific tasks with precision.
- The main goal of building an AI is to let the computer to make decisions faster on a complex real-life scenario. Meaning, in simple terms, the idea is to make better human beings with a positronic brain who can think like us. On the other hand, the goal to create Machine Learning is to extract timely information based on previous experiences. Here, you can’t expect Machine Learning to deal with a challenging scenario and take an appropriate decision.
Well, there you have it – what is AI and Machine Learning and what are the fundamental differences between AI and Machine Learning. Always remember Machine Learning is a part of Artificial Intelligence.