Difference Between Machine Learning and Artificial Intelligence

Artificial Intelligence (AI) and Machine Learning (ML) are two of the most buzzed-about terms in the tech industry today. Both these terms have been around for a while, but their potential has become more apparent with the advent of more powerful computers, bigger data sets, and more advanced algorithms.

The demand for AI professionals is dramatically increasing in various industries such as Banking or finance, healthcare, cybersecurity, education, etc. If you are expecting to pursue a career in Artificial intelligence you can enroll in the best Artificial Intelligence course in Delhi.

Despite being closely related, these terms are often used interchangeably, leading to confusion among those trying to understand the difference between AI and machine learning.

In this blog, we will explore the difference between Machine Learning and Artificial Intelligence, the technologies behind them, and how they are used in various industries.

Before we get into the difference between AI and machine learning, let's have a close look at the definitions of artificial intelligence and machine learning.

What is Artificial (AI) intelligence?
AI refers to the ability of machines to perform tasks that would typically require human intelligence. In other words, AI is the simulation of human intelligence processes by machines, including learning, reasoning, and self-correction. It involves the creation of algorithms and models that can analyze large data sets, identify patterns, and make predictions or decisions based on that analysis.

What is Machine Learning?
Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on enabling machines to learn from data and improve their performance on a specific task without being explicitly programmed. 

ML algorithms are designed to analyze large amounts of data, identify patterns, and learn from them to make predictions or decisions. ML can be divided into three main types: Supervised Learning, Unsupervised Learning, and Reinforcement Learning.

What is the difference between machine learning and artificial intelligence?

Machine Learning (ML) and Artificial Intelligence (AI) are related but distinct fields. Here are the key difference between ML and AI:

Artificial Intelligence	Machine Learning
Artificial Intelligence refers to the ability of machines to perform tasks that would usually require human intelligence.	Machine Learning (ML) is a subset of Artificial Intelligence that focuses on enabling machines to learn from data and improve their performance on a specific task without being explicitly programmed.
AI is aiming to develop an intelligent system to perform various complex tasks	Machine learning is attempting to construct machines that can perform a specific task.
The goal is to simulate natural intelligence to perform complex activities.	The goal is to learn from the data of a particular task to improve efficiency on that task.
Three categories of AI are : Artificial Narrow Intelligence (ANI) Artificial General Intelligence (AGI) Artificial Super Intelligence (ASI)	Three categories of ML are : Supervised Learning Unsupervised Learning Reinforcement Learning
AI is a broader term that includes ML and DL	Machine learning is a subset of Artificial Intelligence.
The common uses of AI - Siri, customer service via chatbots Expert Systems Machine Translation like Google Translate Intelligent humanoid robots such as Sophia, and so on.	The common uses of ML- Facebook’s automatic friend suggestions Google’s search algorithms Banking fraud analysis Stock price forecast Online recommender systems, and so on.
AI is a broader field that uses methods like rule-based systems, expert systems, and machine learning algorithms to create AI machines.	Machine learning focuses on teaching machines, how to learn from data without being explicitly programmed.
AI can work with structured, semi-structured, and unstructured data.	ML can work only with structured and semi-structured
AI has many different applications including robotics, natural language processing, speech recognition, and autonomous vehicles.	ML is primarily used for pattern recognition, predictive modeling, and decision-making in fields such as marketing, fraud detection, and credit scoring.

Conclusion

Now you know the difference between Machine Learning and Artificial Intelligence and how they are related but different fields. While AI is a broader field that encompasses creating machines that can perform tasks that would require human intelligence, Machine Learning is a specific subfield of AI that focuses on enabling machines to learn from data and improve their performance on a specific task without being explicitly programmed. 

The scope of AI in India is vast in various sectors. It becomes more crucial Understanding the difference between Machine Learning and Artificial Intelligence is important for identifying which approach is best suited for a particular application or problem.