Artificial Intelligence Vs Machine Learning Vs Deep Learning
AI vs ML vs DL
We are surrounded by multiple technologies. Artificial Intelligence, Machine Learning, Deep Learning, Data Science are common terms nowadays. People use these terms interchangeably but all these terms are different in terms of definition, application, and limitations.
Nowadays we use many applications that are used in AI. There are many industries that work with AI like Healthcare, E-Commerce, Entertainment, Gaming, Automobile, Education, etc.
Machine Learning and deep learning are used to solve a complex task with huge datasets to make them simple.
Artificial intelligence:
Artificial Intelligence is a field to make a machine intelligent. AI makes machines to act like human's brains. AI incorporates human intelligence into machines. Intelligence means machines can predict, classify, reason, plan, and perceive like humans.
Applications
Voice Assistants like Siri and Alexa, Amazon Echo
Machine Learning
Applications
Healthcare industry like treatment recommendation
Fraud Detection, Sentiment analysis
Entertainment like Personal recommendation on Netflix
Deep Learning
Applications:
Natural Language Processing
Fraud detection
Automatic Game Playing etc.
Differences between Artificial Intelligence, Machine Learning, and Deep Learning
We are using all these terms frequently in this era, but people have confusion about the difference between these words. Artificial Intelligence is an umbrella term. Artificial Intelligence is a presentation layer of Machine Learning and Deep Learning. All these three terms are interrelated but somehow different to each Other.
Artificial Intelligence, Machine Learning, and Deep Learning have their own definitions, data requirements, level of complexity, transparency, and limitations.
Deep Learning is a subset of Machine Learning and Machine Learning is a subset of Artificial Intelligence.
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