Some of the newest and most popular topics in modern technology are AI and Machine Learning (ML). But do you really know the difference between these two? With AI on its way to becoming a major factor in our day-to-day lives, it is important that everyone can tell apart ML from other types of artificial intelligence. In this blog post, we will review the distinct concepts behind both Machine Learning and Artificial Intelligence so readers can better understand how they fit into today’s technological landscape.
What is Machine Learning?
- Machine Learning is a branch of artificial intelligence that focuses on giving machines the ability to learn and improve from experience without being explicitly programmed. Machine Learning algorithms allow computers to learn from data sources, recognize patterns in the data, and make decisions with minimal human support.
- Machine Learning allows computers to autonomously develop solutions for problems using large amounts of data inputs, figure out complex relationships between different elements of the data, and adjust their behavior accordingly when presented with new information.
- Machine Learning systems can be used in a variety of applications such as healthcare, automotive systems, and robotics. Machine Learning has revolutionized the way we interact with technology by enabling machines to not just process data, but also gain and improve upon insights derived from it.
What is Artificial Intelligence (AI)?
- Artificial Intelligence (AI) has been a source of fascination for people around the world. There is an ever-growing interest in AI because it offers new possibilities in machine learning and robotics. Artificial intelligence is computer programming designed to mimic the tasks humans have typically performed, such as decision-making, visual perception, voice recognition, language processing, and more.
- This makes machines capable of completing tasks faster and more efficiently than humans that require specific skills. Artificial Intelligence can be used in many areas: from gaming to finance, from healthcare to manufacturing – Artificial Intelligence can applied to almost any field.
- Through Artificial Intelligence, machines can learn autonomously by using data sets generated by previous decisions or customer preferences. As Artificial Intelligence grows more powerful and efficient with advances in technology, this powerful tool will create immense opportunities to optimize human abilities and capabilities across industries.
Difference between Machine Learning and Artificial Intelligence (AI)
Machine Learning and Artificial Intelligence (AI) are two terms that are often used interchangeably but there is a significant difference between them. Machine Learning is more focused on the application of algorithms and statistical models that are used to give computers the ability to learn from data instead of explicit programming while AI is a much broader concept that can include Machine Learning but also encompasses other technologies such as knowledge representation, natural language processing, cognitive computing, neural networks, robotics, and others.
Machine Learning involves the use of computational techniques to analyze large datasets whereas Artificial Intelligence covers problem-solving techniques across various disciplines in order to create intelligent agents. Machine Learning allows computers to detect patterns within data to improve performance while AI provides computers with higher levels of intelligence so they can perform specific tasks without the need for human intervention.
Conclusion
Machine Learning is a subset of Artificial Intelligence that is mainly concerned with programming computers for the purpose of learning from data instead of following explicit rules. AI, on the other hand, involves machines that can perform tasks that ordinarily require human intelligence, such as understanding natural language and recognizing objects. While both areas are related, they are NOT interchangeable. Machine learning is mainly concerned with programming computers for the purpose of learning from data while AI includes machines that can understand human intelligence and recognize objects.
