Difference Between Machine Learning and Artificial Intelligence

1. Difference Between Machine Learning and Artificial Intelligence Machine learning vs Artificial Intelligence

2. Introduction 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.

3. Artificial Intelligence VS Machine learning

4. DEFINITION ARTIFICIAL INTELLIGENCE MACHINE LEARNING VS AI is a broader field that involves creating machines that can perform tasks that would require human intelligence. ML 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.

5. 2. AIM ARTIFICIAL INTELLIGENCE MACHINE LEARNING VS 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.

6. 3. CATEGORY ARTIFICIAL INTELLIGENCE MACHINE LEARNING VS Artificial Narrow Intelligence (ANI) Artificial General Intelligence (AGI) Artificial Super Intelligence (ASI) Supervised Learning Unsupervised Learning Reinforcement Learning

7. 4. ML IS SUBSET OF AI ARTIFICIAL INTELLIGENCE MACHINE LEARNING VS AI is a broader term that includes ML and DL Machine learning is a subset of Artificial Intelligence.

8. 5. COMMON USES ARTIFICIAL INTELLIGENCE MACHINE LEARNING VS Siri, customer service via chatbots Expert Systems Machine Translation like Google Translate Intelligent humanoid robots such as Sophia, and so on. Facebook automatic friend suggestions Google’s search algorithms Banking fraud analysis Stock price forecast Online recommender systems, and so on.

9. 6. FOCUS AREA ARTIFICIAL INTELLIGENCE MACHINE LEARNING VS 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.

10. 7. DATA TYPE ARTIFICIAL INTELLIGENCE MACHINE LEARNING VS AI can work with structured, semi-structured, and unstructured data. ML can work only with structured and semi-structured

11. 8. APPLICATION ARTIFICIAL INTELLIGENCE MACHINE LEARNING VS 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.

12. 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.

13. THANKS!