Artificial Intelligence is the technology that has the ability of a computer program or a machine to think and learn. These processes include learning, reasoning, and self-correction.
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While learning AI, you will come across various subfield of it, like:
Machine Learning – Machine Learning is the technology in which machines can learn on their own from the examples and the experience.
The machine tends to change or correct its algorithm from the examples and experiences. Artificial Intelligence and Machine Learning are the two most commonly misinterpreted words. They are not the same thing, but the understanding that they are leads to some confusion.
Deep Learning- It is a set of radical new technology, tools, algorithms that helps to perform various tasks. It is about machines becoming intelligent and taking over the tasks which were originally reserved only for humans due to their superior capabilities in terms of intelligence as compared to any machine.
At the most basic level, it mimics the human brain in terms of its structure. It is modeled on the basis of the human brain. The human brain is the most complex single thing existing in the known universe. The main part in DL is the neural network. Now let’s talk about the neural network:
Neural Network – Artificial Neural Network were inspired by the biological network, i.e. the animal brain. Artificial Neural Networks are one of the most important tools in machine learning to find patterns in the data, which are far too complex for a human to figure out and teach the machine to recognize.
A neuron is a central component of a natural neural network. Neuron takes the input gathered by human senses, processes this information and sends executable reactions to various body parts.
The neuron has three fundamental components:
- Dendrites (acts as an input point for neuron)
- Axon(output structure of the neuron)
- Cell body or soma.
Two neurons are connected with each other through the axon and form a network. This network is called Natural Neural Network (NNN).
Data Science-Data science is a detailed study of the flow of information from a large amount of data present in an organization’s repository. It involves obtaining meaningful insights from raw and unstructured data which is processed through analytical, programming, and business skills.
It is increasingly becoming a digital space, organizations deal with Zetta and yottabytes of structured and unstructured information every day. Evolving technologies have enabled better cost savings and smarter storage spaces to store critical data. In the current industry, there is a huge need for skilled, certified data scientists.
Getting confused about AI, ML, DL? Here is the diagrammatic representation of the relation among them:
As you can see in the above diagram, Machine Learning, Deep Learning, and Data Science all the sub-parts of AI. Data Science is the cluster of ML and DL and at the same time, all are correlated with each other.