Artificial intelligence vs Machine Learning vs Deep Learning
What is the difference between Artificial Intelligence, Machine Learning, and Deep Learning?
What is artificial intelligence?
“AI is the ability of a computer program to function like a human brain ”
AI means to actually replicate a human brain, the way a human brain thinks, works, and functions. The truth is we are not able to establish a proper AI till now but we are very close to establishing it, one of the examples of AI is Sophia, the most advanced AI model present today.
AI has three different levels:
- Narrow AI: An Artificial intelligence is said to be narrow when the machine can perform a specific task better than a human. The current research of AI is here now.
- General AI: An artificial intelligence reaches the general state when it can perform any intellectual task with the same accuracy level as a human would.
- Active AI: An AI is active when it can beat humans in many tasks.
What is machine learning?
“Machine Learning is a technique of parsing data, learn from that data and then apply what they have learned to make an informed decision”
Machine learning is the best tool so far to analyze, understand, and identify a pattern in the data. One of the main ideas behind machine learning is that the computer can be trained to automate tasks that would be exhaustive or impossible for a human being. The clear breach from the traditional analysis is that machine learning can take decisions with minimal human intervention.
Nowadays many of big companies use machine learning to give their users a better experience, some of the examples are, Amazon using machine learning to give better product choice recommendations to there costumers based on their preferences, Netflix uses machine learning to give better suggestions to their users of the Tv series or movie or shows that they would like to watch.
Training an algorithm requires to follow a few standard steps:
- Collect the data
- Train the classifier
- Make predictions
What is deep learning?
“Deep learning is a subset of machine learning. It functions in the same way but it has different capabilities”
As earlier mentioned, deep learning is a subset of ML; in fact, it’s simply a technique for realizing machine learning. In other words, DL is the next evolution of machine learning.
The main difference between deep and machine learning is, machine learning models become better progressively but the model still needs some guidance. If a machine learning model returns an inaccurate prediction then the programmer needs to fix that problem explicitly but in the case of deep learning, the model does it by himself. The automatic car driving system is a good example of deep learning.
In deep learning, the learning phase is done through a neural network. A neural network is an architecture where the layers are stacked on top of each other.
Why people get confused between machine learning, deep learning, and artificial intelligence?
Machine learning and deep learning are a way of achieving AI, which means by the use of machine learning and deep learning we may able to achieve AI in the coming future.