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Artificial Intelligence

Artificial Intelligence (AI) vs Machine Learning (ML) vs Deep Learning (DL)

What is the Difference?

While artificial intelligence, machine learning and deep learning are trending tech terms that we hear everywhere these days, there are major misconceptions about what these words actually mean. Many companies claim to incorporate some kind of artificial intelligence (AI) in their applications or services, but what does that mean in practice?

Artificial Intelligence is the broader umbrella under which Machine Learning and Deep Learning come. And that means deep learning is a subset of Machine Learning. So all three of them AI, machine learning and deep learning are just subsets of each other. Let us move on and understand how exactly they are different from each other.

Artificial Intelligence (AI) is the concept of creating smart intelligent machines, commonly referred to as AI, is the process of imparting data, information, and human intelligence to machines. The main goal of Artificial Intelligence is to develop self-reliant machines that can think and act like humans.

These machines can mimic human behavior and perform tasks by learning and problem-solving. Most of the AI systems simulate natural intelligence to solve complex problems.

Machine Learning (ML) is a subset of artificial intelligence that helps you build AI-driven applications. Usually, when people use the term deep learning, they are referring to deep artificial neural networks. It allows the machines to learn and make predictions based on its experience (data).

It is a method of training algorithms such that they can learn how to make decisions. Training in machine learning entails giving a lot of data to the algorithm and allowing it to learn more about the processed information.

Deep Learning (DL) is a subset of machine learning that uses vast volumes of data and complex algorithms to train a model. Deep artificial neural networks are a set of algorithms that have set new records in accuracy for many important problems, such as image recognition, sound recognition, recommender systems, natural language processing etc.

By now AI vs Machine Learning vs Deep Learning has made you clear that AI is a bigger picture, and Machine Learning and Deep Learning are its subparts, so concluding it would say the easiest way of understanding the difference between machine learning and deep learning is to know that deep learning is machine learning. More specifically, it’s the next evolution of machine learning.

The field of machinery diagnostics is quite broad, covering everything from a skilled mechanic’s inspection, to “set point” controls for vibration, pressures, temperatures, and so on, to programmed expert systems.

With the Artificial Intelligence (AI) platform, Accurex™ – the patent automatic diagnostic software built into Acoem suite of vibration measurement tools, has created an effective and accurate system of truly automated machinery diagnostics, including:

  • Set up in minutes,
  • Quick and easy wireless measurements,
  • Fast, relevant and reliable results for a wide range of potential machine faults,
  • Connecting to the Acoem Cloud allows you to share your data with teams around your business