National Insitute of Technology (NIT), Warangal is organizing an Online Faculty Development Program on Machine Learning for IoT Applications from September 7 to 11, 2020.
This FDP covers various machine learning methods that deal with the challenges presented by IoT data.
National Institute of Technology Warangal, formerly known as Regional Engineering College was established in 1959. Over the years it has developed into a premier institute of higher learning and is ranked among the top technical education institutions in India.
The main objective of this program is to provide knowledge on Intelligent processing and analysis of these big data is the key to developing smart IoT applications. And also provide the knowledge on various machine learning methods that deal with the challenges presented by IoT data. The FDP will also focus on hands-on sessions using Raspberry Pi.
- IoT applications and communication protocols, computing frameworks, IoT architecture, and smart city segments.
- The quality of data, big data generation, sensor data integration, and semantic data annotation.
- Tools to analyze data, Dimensions of data, Dimensionality reduction.
Machine learning algorithms useful for IoT data and frequency of machine learning algorithms.
- Linear and Non-linear Regression Models.
- Recommendation Systems, Decision Analysis Supervised, and Unsupervised learning
- Hands-on sessions are covered using Python Programming.
Faculty members in all disciplines of Engineering, Sciences, Mathematics, Post Doctoral Fellows, Research Scholars, PG students, UG students who have an aptitude to work in the areas of Machine Learning and IoT are invited to apply.
- Faculty, Post-Doctoral fellows, Research Scholars, PG students, UG student: Rs. 500/-
- Industry Participants: Rs. 1000/-
Registration fee can be remitted Online/ NEFT to the Bank Account details: Account Name: Center for Continuing Education NITW, Account Number: 62403680215 (Savings Account), Bank Name: State Bank of India, Branch: NIT Warangal, IFSC Code: SBIN0020149.
Interested candidates can register online by clicking here. The last date to register is August 24, 2020.
Phone Number: 9800296596
Email ID: email@example.com
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