Machine learning (ML) and Artificial intelligence (AI) are related fields, but they are not the same thing. AI is a broader field that encompasses many different technologies, including machine learning. Check with us the key differences between machine learning and artificial intelligence.
- Artificial intelligence is a branch of computer science that deals with the creation of intelligent machines that can perform tasks that would normally require human intelligence. Machine learning is a subset of AI that involves training algorithms to learn from data, without being explicitly programmed.
- AI focuses on creating intelligent systems that can make decisions, reason, and understand natural language. Machine learning focuses on using algorithms to find patterns in data and make predictions or classifications based on those patterns.
- AI has a broad scope, and can include many different technologies, such as rule-based systems, natural language processing, and computer vision. Machine learning has a narrower scope, and specifically refers to the use of algorithms to learn from data.
- In AI, systems are typically designed and programmed by humans, with some level of autonomy. In machine learning, algorithms are trained using data, and the system improves its performance over time as it is exposed to more data.
- Examples of AI include chatbots, autonomous vehicles, and personal assistants like Siri and Alexa. Examples of machine learning include recommendation systems, fraud detection, and image classification.
In summary, machine learning is a subset of artificial intelligence that involves training algorithms to learn from data, while AI is a broader field that includes many different technologies for creating intelligent systems.
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