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The process that generates the power of AI

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The process that generates the power of AI

The development of AI over the years has driven mainly by the focus to mimic the brain of man. This search yielded results when Machine Learning was invented. Machine learning has been taught to perform tasks just like man, observe, categorize, and learn from mistakes. The research and growth of AI has been divided into two branches, namely; Applied AI and Generalized AI (Marr, 2018). Applied AI duplicates the man’s brain to perform one task while generalized AI pursues to invent machine intelligence to manage more than a specific job, just like a human being.

The difference between machine learning and deep learning

Machine learning is used to define any form of computer that can learn by itself, without any human intervention. The main idea of Machine Learning is to train computers to learn by themselves. This is possible by introducing the algorithms to make decisions on their own. Machine Learning helps a system to study, recognize ad make predictions of patterns. When compared to deep learning, Machine Learning is quite affordable ( Kapoor, 2019).

Deep learning is a form of machine learning that uses either supervised or unsupervised algorithms or both the algorithms.  The deep learning algorithms are motivated by human brain processing patterns. The word deep originates from the many deep layers of neural networks.

Deep learning has become popular due to its ability to speed up solutions to problems majorly experienced in computer vision and Natural Language Processing. Deep learning depends on the feature learning division of machine learning.

The main difference that exists between the two is that Machine learning is manual, while deep learning is automatic.

Deep learning requires large amounts of training data and big machines while as opposed to Machine Learning.

 

Reference

Kapoor, A. (2019). Deep learning vs. machine learning: a simple explanation. Hackernoon< https://hackernoon. com/deep-learning-vs-machine-learning-asimple-explanation-47405b3eef08>[Consulta: 03 octubre 2019].

Marr, B. (2018). How Is AI Used In Education–Real World Examples Of Today And A Peek Into The Future. Forbes, Forbes Magazine25.

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