Artificial Intelligence and Machine learning are the most buzzed words at present. Both AI and ML have gained a lot of popularity and they are used in most of the domains for different purposes. Most people think that these two terms are similar or they use them as synonyms but these two terms are completely different from one another. However, they are interlinked but not similar. In this article, we will understand these terms and the difference between them. So, let’s get started.
What is Artificial Intelligence?
Artificial Intelligence is a branch of Computer Science that aims to build intelligent machines. It is the engineering and science of making machines that think rationally and act rationally. Machines that show intelligence as shown by humans and animals.
There are three types of Artificial Intelligence and they are:
Artificial Narrow Intelligence
Artificial General Intelligence
Artificial Super Intelligence
Applications of Artificial Intelligence:
Below are some of the major applications of Artificial Intelligence.
Robotics
Healthcare
Automated Vehicles
Finance
Social Media
Education
Advantages of Artificial Intelligence:
Below are some of the major advantages of Artificial Intelligence.
Complex problems can be solved efficiently and quickly.
It is available all the time.
Disadvantages of Artificial Intelligence:
Below are some of the major disadvantages of Artificial Intelligence.
It is very expensive.
Doesn’t learn from experience.
Cause unemployment.
Can be misused.
What is Machine Learning?
Machine Learning is a set of algorithms/techniques, which naturally learns through data and
improves over time as they’re exposed to more data. Algorithms and data are the key part
of machine learning actions. Algorithms are constantly under work to become more accurate
and reliable but the vital factor that determines the success of the Machine Learning model
is the data available for training the same model.
There are three types of Machine Learning and they are:
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Applications of Machine learning:
Below are a number of the main applications of Machine learning.
Future Prediction
Image and Object Recognition
Speech Recognition
Sentiment Analysis
Recommendation Systems
Advantages of Machine learning:
Below are some of the major advantages of Machine learning.
It can automate everything
Handles data efficiently.
There is continuous improvement.
It has wide applications.
Disadvantages of Machine learning:
Below are some of the major disadvantages of Machine learning.
Algorithm selection.
Require a good amount of data for efficient results.
There are chances of high error.
Time and space-consuming.
Artificial Intelligence vs Machine Learning
Most people think that Artificial Intelligence and Machine Learning are similar. But there is a huge difference between these two terms. Below are some key differences between AI and ML:
AI performs tasks that require human intelligence while Machine learning is a subset of Artificial Intelligence that learns from data for making predictions.
The aim of AI is to gain intelligence, on the other hand, ML aims to gain knowledge.
AI uses decision trees and logic while ML uses statistics and probability.
AI focuses on increasing chances of success while ML focuses on increasing accuracy.
AI is about decision-making while ML is about learning from data.
Take a look at the image below.
Summary
In this article, we understood the key difference between Artificial Intelligence and Machine Learning. We learned about Artificial Intelligence, Machine learning, their applications, advantages, disadvantages and Machine learning vs Artificial Intelligence. We discovered that ML is AI but AI is not ML i.e ML is a subset of AI.
We hope you gain an understanding of Machine learning vs Artificial Intelligence. Do reach out to us for queries on our, AI-dedicated discussion forum and obtain your query resolved within a half-hour.
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