Artificial Intelligence vs. Machine Learning: What’s the difference

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Artificial Intelligence vs. Machine Learning
Whats the difference?
Artificial intelligence (AI) mimics human
intelligence and falls under the field of
computer science. In simple words, AI develops
intelligent systems that has the power to
simulate human intelligence. It is constituted
of two words Artificial and Intelligence
which is defined as "a human-made thinking
power."
The amazing thing about AI is that it requires no
pre-programming, instead it is backed with
algorithms that has the potential to use their
own intelligence. Machine learning (ML) is a
subset of the technology and hence offers
algorithms like deep learning neural networks and
Reinforcement learning algorithm. You enjoy
intelligent features of AI by using it on a daily
basis in the form of Siri, Google, and AlphaGo.
Although, the technology is in its nascent stage,
it still is misunderstood by many. This has led
to confusions centring around it and machine
learning. Understanding AI as just smart
technology will be an understatement. The
technology holds the supreme power of
problem-solving, learning, and planning,
analysing data, and identifying patterns to
imitate those manners.
On the other hand, ML falls under the umbrella
term of artificial intelligence. It is a subset
whereas AI is the overall subject of acting
smart. ML processes data and learns facts which
could be difficult
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for humans due to any reason. ML has the potency
to think and act beyond human intelligence. It is
best to leverage this technology for managing
humongous sets of data rapidly with the help of
algorithms which erratically change and get
better over time. Lets peek into the best
example of it Machine learning collects data on
a manufacturing plant from its integrated
machines and sensors on its network in bulk
quantities which is today beyond human
intelligence. Further, the technology derives
patterns and identify anomalies, helping humans
to look onto a problem which otherwise would
have been overlooked. It gets humans with useful
information that humans cant manually. This is
what ML is in easy language. AI vs. ML Key
Differences
Artificial Intelligence Machine Learning
It is a technology that allows machine to mimic human behaviour. It is a subset of the broad term- AI that ensures machine to automatically derive insights from past data without hardcore programming.
The goal is to develop smart computer systems to solve complex problems like humans. The goal here is to help machines learn from past data to offer accurate output.
ML and Deep learning are the main divisions of AI. Deep learning is the prime division of ML.
It has a vast scope. It has limited scope.
AI aims at maximizing the chances of success. It focuses mainly on accuracy and patterns.
The best applications are Siri, Expert System, Online game playing, customer support using catboats, and intelligent humanoid robot. Its best applications are Google search algorithms, Online recommender system, and Facebook auto friend tagging suggestions.
It deals with all the three types of data- structured, semi-structured, and unstructured data. ML deals with only Structured and semi- structured data.
It consists self-correction, learning, and reasoning. It consists learning and self-correction when processing new data.
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