In today’s world, the word Artificial Intelligence is very common. Artificial Intelligence has become famous in the world, thanks to the various sources of media, that is the television, movies, internet, etc. After the word Artificial Intelligence gained momentum in our day-to-day language usage, you may have noticed two other different types of words coming into your lives- Deep Learning and Machine Learning. With the increasing speed of inventions and technologies, it becomes quite difficult to distinguish among the three terms. Therefore, it has become extremely important for one to know the exact meaning of the three terms, along with the differences among them. A quick and brief explanation of Artificial Intelligence, Machine Learning and Deep Learning and their differences will help the various technologies to be clearly understood and used.

Difference Between The Three Terms

Firstly, Artificial Intelligence refers to the intelligence created by humans but is displayed by machines. John McCarthy in 1965 first coined the term. With the help of Artificial Intelligence, machines can perform tasks that are basic to the intelligence possessed by humans. Such machines possessing artificial intelligence can perform tasks like recognizing objects, language, sounds, learning, problem-solving, planning, and understanding.

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Machine Learning, on the other hand, is a scientific method of studying algorithms and models of statistics that the computers use to improve their task performance on various specific levels progressively. Machine Learning helps the machines to perform and undertake tasks without having to be explicitly programmed for the task. The machines can self-learn and begin and complete the assigned task in the most efficient way possible with the help of Machine Learning. Machine Learning is simply a method of machines in achieving Artificial Intelligence. Instead of manually programming machines and coding several softwares into it with ways or instructions that must be used to achieve a particular task, machine learning does all of it for the computer system.

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Deep Learning, in turn, is an approach to machine learning. It is one of the most widely used methods of Machine Learning that is based on representations of learned data that is opposite to that of task-specific algorithms, and that is why Deep Learning is also known as Hierarchical Learning or Deep Structured Learning. This type of learning can be unsupervised, semi-supervised or supervised. Communication patterns have inspired the Deep Learning models and information processing in the biological nervous systems, differing in some way in the structural and functional properties of the human brain.

Now, the difference between the three terms, Artificial Intelligence, Deep Learning, and Machine Learning may be clear, and therefore, usage of these terms may become more meaning in our daily language dictionary. Thus, Artificial Learning, with the help of Machine Learning and Deep Learning, helps in making our lives easier by improving the skills of our computer systems and machines. The development of machine learning and Deep learning has helped in making a huge leap in Artificial Intelligence in recent years.