Exploring the Differences Between AI, Machine Learning, and Deep Learning

AI vs ML vs Deep Learning: Understanding the Key Differences

Let’s move on and discuss one of the biggest confusions the people in the world. They think that all three of them Artificial Intelligence, machine learning, and Deep learning are the same.

Let me clarify things for you artificial intelligence is a broader concept of machines being able to carry out tasks in a smarter way. It covers anything which enables the computer to be like Humans. Think of a famous Turing test to determine whether a computer is capable of thinking like a human being or not. If you are talking to Siri on your phone and you get an answer you’re already very close to it. So, this was about artificial intelligence. Now coming to the machine learning part. Machine learning is a subset or a current application of AI. It is based on the idea that we should be able to give machines access to data and let them learn from that data. It’s a subset of artificial intelligence. Deep learning is a type of ML that involves the use of artificial neural networks (ANNs) to learn and make decisions. One key difference between deep learning and other types of ML is that deep learning algorithms can learn and make decisions automatically, without the need for explicit programming or human intervention.

Exploring the World of Machine Learning: A Primer

Unpacking the Terminology: Artificial Intelligence, Machine Learning, and Deep Learning:

Artificial intelligence (AI) is a broad field that encompasses many different techniques and approaches for building intelligent systems. AI systems are designed to perform tasks that would normally require human intelligence, such as learning, problem-solving, and decision-making.

Machine learning (ML) is a subfield of AI that involves training algorithms to learn patterns and relationships in data and then using those patterns to make predictions or take actions. ML algorithms are designed to improve their performance over time as they are exposed to more data.

Deep learning is a type of machine learning that involves training artificial neural networks, which are algorithms inspired by the structure and function of the human brain. Deep learning algorithms are particularly good at tasks that involve processing large amounts of unstructured data, such as image and speech recognition.

So, in summary: AI is a broad field that includes many different approaches for building intelligent systems, while machine learning is a specific technique within AI that involves training algorithms to learn patterns in data, and deep learning is a type of machine learning that involves training artificial neural networks.