Warangal: NIT Warangal has invited applications from students and industry professionals for a five-day online course on Machine Learning and Deep Learning Algorithms and Applications. While the course will be offered to students at Rs 500, it will cost Rs 1000 for industry professionals. The programme is open to all faculty, research scholars, industry professionals, MCA, MBA, degree or polytechnic and other eligible students. As the program is being conducted online, the number of participants in the online course on machine learning is limited to 100.
The course is being organised by the Department Of Electronics and Communication Engineering in association with the Center of Continuing Education NIT Warangal. Students and professionals who enroll for the course can attend the same from 27 September to 1 October 2021. Upon successfully completing the course, participants will be able to explore topics in machine learning and deep learning for their research work, and design and implement various machine learning and deep learning algorithms in a range of real-world applications. Upon completion of the course, participants will receive an e-certificate.
What the NIT Warangal Online Course on Machine Learning Will Cover?
The course aims at updating the attendees with skills and knowledge in the field of machine learning and deep learning. Some of the topics that will be covered over a period of 5 days are as follows:
- Introduction to machine learning and tools.
- Data preprocessing and visualization.
- Simple and multiple linear regression.
- Decision tree and support vector regression.
- Introduction to deep learning ANN.
- Tensor flow and Keras using P
- Recurrent neural network and types of RNN.
- CNN architecture and 3D CNN.
How to Apply for NIT Warangal Online Course on Machine Learning?
Interested participants will have to submit a dedicated Google form with the payment proof on or before 20 September 2021. On the receipt of the Google form and fee remittance receipt, participants will be sent a confirmation of their participation through email by 22 September 2021. Those who wish to know more are advised to go through the course brochure in detail.
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