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Most popular applications for the graduates of BTech Artificial Intelligence

Today, the resources about Artificial Intelligence (AI) are quite overwhelming. There are some basic concepts and applications that students of BTech Artificial Intelligence need to know in the field of Artificial Intelligence including the following:

1. Machine learning

Machine learning enables machines to “learn” a task from experience without programming them particularly about that task. This process starts with feeding them good quality data and then training the machines by building different models using different algorithms. The choice of algorithms is completely dependent on the kind of task individuals are trying to automate. However, Machine Learning Algorithms are basically divided into 3 types including supervised learning, unsupervised learning and reinforcement learning.

2. Deep Learning

Deep Learning is a subset of Machine Learning. It allows processing of data and creating predictions using neural networks. These neural networks are connected in a web/like structure similar to the networks in the human brain for the graduates of Top Engineering Colleges in Jaipur. This web-like structure of artificial neural networks means that they are able to process data in a non-linear approach, which is an important benefit over traditional algorithms.

Rank Brain is one of the most important factors of deep neural network in the Google Search Algorithm.

3. Reinforcement learning

Reinforcement learning is a part of Artificial Intelligence in which the machine learns something in a way that is similar to how humans learn. For instance, imagine that the machine is a student. Here the hypothetical student learns from its own mistakes over time through trial and error. In other words, the algorithm decides the next action by learning behaviors that are based on its current state and that will maximize the reward in the future.

4. Robotics ?????

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