Artificial intelligence and machine learning are two trending technologies in the present world.

Artificial intelligence (AI) and machine learning are often used interchangeably, but machine learning is a subset of the broader category of AI.

Put in context, artificial intelligence refers to the general ability of computers to emulate human thought and perform tasks in real-world environments, while machine learning refers to the technologies and algorithms that enable systems to identify patterns, make decisions, and improve themselves through experience and data. 

Artificial Intelligence and Machine Learning (AI&ML) is a new, emerging field that consists of a set of tools and techniques used to extract useful information from data. AI&ML is a fast-growing discipline and is full of rigorous practical analysis. The demand for AI and ML has industry-required skills and demand in the global market over the last few years. Artificial intelligence and machine learning are also in line with computer science. Machine learning is an established research discipline. However, recent advances have increased the impact on many areas of society, science, medicine, and everyday life. AI with ML is in demand in robotics applications, space technology, Industry 4.0, and many more. AI and ML deliver modern computational systems that demonstrate capabilities of perception, reasoning, learning, and action that are typical of human intelligence.

Computer programmers and software developers enable computers to analyze data and solve problems—essentially, they create artificial intelligence systems—by applying tools such as:

Machine learning, deep learning, neural networks, computer vision, and natural language processing.