What is the Difference between Machine Learning and Artificial Intelligence?
Machine learning and artificial intelligence have become a major trend these days. Both terms are used interchangeably. It is important to note that artificial intelligence and machine learning are two different concepts. Machine learning is a part of AI, while the latter is a broader concept that involves machines to automate the challenging tasks. AI is used in almost every industry. The best example is the online eCommerce shopping website, such as Amazon. It has implemented the AI algorithm to discover the customer’s buying history and offer them suggestions based on what they will be interested to purchase.
Contrary to the popular belief, AI isn’t new. In fact, it has been around for decades. Artificial Intelligence gained popularity after the first logical computer was launched. It had the ability to do arithmetic calculations, store data, and perform other basic tasks. However, machine learning and AI has garnered a lot of attention over the past few years. As technology is progressing, the developers are launching new devices and technical gadgets that are engineered to automate human tasks. The automated vehicles and online stock trading are other common examples of artificial intelligence.
Machine Learning Vs AI
Machine learning, on the other hand, is defined as the machine’s ability to function without being programmed. Unlike the outdated computers, the latest technical devices are designed to perform an extensive range of functions without human intervention. You don’t need to program this machine. In fact, these machines are smart enough to handle a large volume of data efficiently. Note that artificial intelligence is used to provide machines with the ability to learn from data. Machine learning is part or subset of the AI.
To put it in simple terms, AI can create machines that mimic humans. These machines can perform research, manage data, and find the required information seamlessly. As mentioned above, the machines do not need human intervention. You don’t have to program them. They use the data and algorithms to perform the basic tasks efficiently. What sets these machines apart from the standard computers is their unique ability to make predictions based on the statistical and qualitative data. They use a large volume of structured data to help people make sound decisions.
Siri and Alexa are the machines that run on AI algorithms. They extract information from the internet and complete the requested task using the data. Artificial intelligence focuses on developing smart solutions that can mimic human functions efficiently, while machine learning is based on the machine’s ability to learn from the data and experiences. These machines are made to carry out the requested tasks as efficiently as possible. While these advanced systems have the ability to perform tasks like a human, they have a limited scope. Machines cannot perform complex tasks. They can be used for the operations they are designed for. The best examples of machine learning tools are Google Search Algorithms, Amazon auto-recommendation feature, Facebook auto-tagging system, and more.