AI and
ML sound like synonyms in the tech industry. Artificial intelligence may not
have found a wide application in our daily lives yet but it is definitely a hot
topic in the business world. From gaming stations to handling complex tasks at
work, AI is everywhere. And, its presence is getting stronger and more dominant
with each passing day. However, the terms 'Artificial Intelligence' and
'Machine Learning' are often confused with one another. So, do they have the
same meaning? Or are they completely different from one another? We will find
it out in this blog.
AI vs
ML
You
must have seen ads like 'artificial intelligence online workshop' and 'machine learning classroom
course' over the internet by the same institute and wondered whether they
are related courses or completely different. These training institutes have
successfully promoted both the terms but somehow failed to educate people about
what they exactly are. Don't worry; we will discuss it one by one. As you must
have an idea of AI, let's start from Artificial Intelligence to understand the
difference.
What Is
Artificial Intelligence?
Artificial
intelligence can be defined as the science of developing intelligent machines
that may assist with working on human intelligence. With automation taking
over, it is important to make machines that can imitate human behavior.
However, it never means that it is confined to the biologically observable
methods. AI is basically focused on developing computer programs that can act
like humans. To achieve this, AI scientists analyze the problem solving ability
of the human brain and build complex algorithms for performing similar tasks.
AI can
be further categorized into Vertical and Horizontal AI. While vertical AI
focuses on handling one task at a time such as scheduling meetings, horizontal
AI bots can perform multiple tasks at a time. Cortana and Alexa are some real
life examples of horizontal AI. As Artificial Intelligence is an engine of big
data, you can opt for big data training and certification Dubai to learn it
better.
What Is
Machine Learning?
Machine
learning is actually a subset of AI which is based on designing or applying
algorithms based on past cases. It works on predictions according to the past
behaviour and solving complex issues using the past data. In a nutshell, ML
works on past data. If there is no past, there is no prediction.
There
are many ML training
and certifications online that will help you learn more about it. Some
examples of machine learning applications are face detection features in
phones, self driving cars, credit card fraud detection, etc.
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