People who have rudimentary knowledge about technology would be well-aware of the concept of artificial intelligence. But this is a very broad term; if we break it down, then it boils down to the basic concept :
Although both these terms are used interchangeably, the fact of the matter is that both these are varied terms. If I have to put it in simple words, then Machine Learning and Deep Learning are part of AI, and deep learning is a part of machine learning. This blog focuses on unfolding the difference between both these technologies.
What is machine learning and deep learning?
Machine learning has algorithms that parse data and learn from the pre-fed data. The machine picks up the information stored in the data and uses the same to make informed decisions.
The easiest way to explain this is the feature of on-demand music. For any service provider to decide the recommended music or artists that you would love to listen to. The machine learning algorithms are responsible for this. Based on your preferences and the previous music streaming, the machine learning algorithm takes the right decision.
Machine learning is responsible for performing all the automated tasks, and its application spreads across different industries.
Now comes deep learning; well, the matter is that deep learning forms the core of machine learning. It is responsible for structuring the algorithms in layers, thus creating an artificial neural network that enables the algorithm to make informed decisions.
If we look into the basic machine learning concept, it is developed to perform better, but they still need guidance. If there is an inaccurate decision, the engineer has to work on the algorithm and improve it. But with a deep learning model, the algorithm is efficient enough to determine any accuracy, learn from the error.
The layered structure of the artificial neural network of deep learning algorithm makes it such an efficient technology. This artificial neural network is designed to perform the same way the human brain would respond.
Recap at the difference between machine learning and deep learning:
• Machine learning algorithms are used to learn from the data, parse data and also help in making an uninformed decision based on the information learned from the data.
• Deep learning works on structuring the algorithms to create an artificial neural network. This enables the machine to decide on its own
• And finally, deep learning is a part of machine learning. And both machine learning and deep learning are a part of artificial intelligence.
This was a brief discussion on how machine learning and deep learning are different, but the fact of the matter is that data drive both these technologies. Since similar technologies will drive the future, if you too wish to become a data expert, then you must acquaint yourself with the concepts related to AI, machine learning and deep learning. The Global Tech Council is offering an online certification program in all these fields, and if you become a machine learning expert or deep cleaning expert, then this is the time to connect with the Global Tech Council.
Image Credit: What is the difference between deep learning and usual machine learning
Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://datafloq.com/read/what-difference-deep-learning-usual-machine-learning/14419
