The emerging field in the field of technology and communication are as follows
1. IoT
2. Machine learning.
IoT- It stands for Internet of Things
It actually means that the every nodes are connected to the internet and those can be controlled through internet. The examples of nodes can be computer, smart phone, house gadgets, traffic light, security system of home etc. All these are named as the nodes. As the world is moving towards higher generations of speed such as 5G in the future days the IoT is the fast growing job providing field.
Machine Learning
It is the another fast growing field, where the machines should analyze the environment and should start recognizing the things. It is like teaching a child, a step by step process. The only difficulty in this field is the machines understands only a numbers all the real world data should be fed as numbers and recognition should happen based on the numbers.
In this field we have two stages
1. Training: in this stage the machines starts understanding the environment through the numbers technically it is called as feature extraction phase where features are the deciding factors.Normally thousands of samples(can be image, audio or anything) are taken and features are extracted.
2. Testing: once the features are extracted and stored in the data base the training phase is completed and the testing phase starts. In testing the images are provided based on the previous experience the machine will provide the judgement whether the image/audio belongs to the class(group) or not.
Subscribe to my channel!1. IoT
2. Machine learning.
IoT- It stands for Internet of Things
It actually means that the every nodes are connected to the internet and those can be controlled through internet. The examples of nodes can be computer, smart phone, house gadgets, traffic light, security system of home etc. All these are named as the nodes. As the world is moving towards higher generations of speed such as 5G in the future days the IoT is the fast growing job providing field.
Machine Learning
It is the another fast growing field, where the machines should analyze the environment and should start recognizing the things. It is like teaching a child, a step by step process. The only difficulty in this field is the machines understands only a numbers all the real world data should be fed as numbers and recognition should happen based on the numbers.
In this field we have two stages
1. Training: in this stage the machines starts understanding the environment through the numbers technically it is called as feature extraction phase where features are the deciding factors.Normally thousands of samples(can be image, audio or anything) are taken and features are extracted.
2. Testing: once the features are extracted and stored in the data base the training phase is completed and the testing phase starts. In testing the images are provided based on the previous experience the machine will provide the judgement whether the image/audio belongs to the class(group) or not.
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