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Electronics & ICT Academy IIT RoorkeeWhy IoT and ML? IoT is the next digital revolution which is going to change our lives in ways never imagined before. You can explore many alone Week Short Course/FDP
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Define the problem or use case you want to address with IoT and machine learning.
02
Collect relevant data from IoT devices and sensors.
03
Clean and preprocess the data to make it suitable for machine learning algorithms.
04
Choose a machine learning model that best fits your problem and data.
05
Train the machine learning model using the preprocessed data.
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Evaluate the model's performance and make necessary adjustments.
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Deploy the trained model to make predictions or decisions based on real-time IoT data.

Who needs iot and machine learning?

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Businesses looking to optimize their operations and enhance efficiency through real-time data insights.
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Researchers and developers aiming to create intelligent systems that can learn from data and make autonomous decisions.
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Cities and governments interested in implementing smart infrastructure and improving public services.
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Healthcare professionals seeking to monitor patient health remotely and provide personalized treatment plans.
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IoT (Internet of Things) is the interconnection of devices through the internet, allowing them to send and receive data. Machine learning is a branch of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed.
Companies and organizations utilizing IoT and machine learning technologies are required to file relevant documentation.
To fill out IoT and machine learning documentation, companies need to provide detailed information about the technologies used, data collected, and security measures implemented.
The purpose of IoT and machine learning is to improve efficiency, decision making, and automation by leveraging data and predictive analytics.
Information such as data collection methods, security protocols, data usage policies, and risk mitigation strategies must be reported on IoT and machine learning.
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