Artificial Intelligence (AI) and Machine Learning – Things to Knowchnologies
FAZZDEVELOPER.COM - Artificial Intelligence (AI) and Machine Learning – Things to Know Artificial Intelligence (AI) and Machine Learning are promising future technologies. Both are not quite the same thing, but some people found confusion between them. AI and Machine Learning commonly come together when it comes to big data, technological change, analytics, and similar stuff.
Artificial Intelligence (AI) and Machine Learning
As mentioned earlier, AI and Machine Learning are not necessarily the same thing.
Artificial Intelligence is the main concept that brings the term “smart” into the world. Smartphones, smart homes, smart technology, and smart cars are just a few of the things that implement AI.
Meanwhile, Machine Learning is the application of AI in a specific way. Machines access the data and learn all of it on their own.
More than anything, Artificial Intelligence (AI) and Machine Learning are promising future technologies.
Machine Learning is a subfield of Artificial Intelligence
We explained that AI is the big picture. It has various subfields with different specialties. Machine Learning, on the other hand, is part of AI.
The subfields of Artificial Intelligence are such as:
Natural language processing
Natural language processing or NLP is the ability of computers to understand and analyze human language. Siri and Google Assistant are examples of NLP applications. It allows humans to communicate with computers by using conversational language.
Computer vision uses pattern recognition and deep learning to identify information in a video or picture. After the machine processes, analyzes, and understands a specific image, it can capture videos in real-time and defines the surroundings.
Deep learning is a process to learn complex information in a large amount of data. It involves the works of huge neural networks that come with tons of processing unit layers.
Image and speech recognition are two of the most common applications of deep learning.
A neural network
A neural network is inspired by machine learning. It is also a representation of how the human brain works.
This arrangement is a computing system consisting of interconnected units. All information is processed through several passes, from responding to the external inputs to relaying data between each unit.
Machine learning, on the other hand, is an automated analytical model building. The method combines the work of neural networks, operations research, statistics, and physics to figure out hidden information in data.
As mentioned earlier, the machine learns information by itself.
The presence of artificial intelligence is to help humans solve their problems. Artificial Intelligence (AI) and Machine Learning are promising future technologies, considering they minimize human error big time.