NIT Warangal launches five-day online course on ML, DL &#038; IoT
The Center for Continuing Education (CCE) at the National Institute of Warangal has launched a five-day online course on machine learning, deep learning and IoT driven smart applications. While faculty, research scholars and students have to pay INR 500 to enrol for the course, professionals will be charged INR 1,000 for the same. The course will cover: 1. Introduction to Deep Learning, Neural Networks Basics 2. Artificial Neural Networks, Back Propagation, Convolution Neural Networks in Various Research Domains 3. Deep Learning Applications in Image Processing, Vision, NLP, etc 4. IoT, IoT Boards, Use cases of IoT 5. Introduction to Raspberry Pi and 6. Installation, Setup and Configuration pi 7. IoT based Smart Agriculture 8. Applications of DL with IoT 9. Smart Agriculture System. 10. Face Recognition Bot 11. Smart Alarm Clock. 12. Air Pollution Monitoring System. The programme is open to all faculty, research scholars, industry professionals, MCA/MBA/Degree/Polytechnic and other eligible students. The sessions will be handled by experts from IITs, NITs, Central University and professors from the US. The course will start on March 28, 2022. The last day to register is March 27, 2022. Apply here.
The sessions will be handled by experts from IITs, NITs, Central University and professors from the US.
The sessions will be handled by experts from IITs, NITs, Central University and professors from the US.
["Deep Learning"]
["machine learning", "programming_languages:R", "AI", "neural network", "NLP", "ai_applications:NLP", "deep learning", "Deep Learning", "R"]
["AI", "machine learning", "deep learning", "neural network", "NLP", "R", "programming_languages:R", "ai_applications:NLP"]
Sharath is an ardent believer in the ‘Transhumanism’ movement. Anything and everything about technology excites him. At Analytics India Magazine, he writes about artificial intelligence, cybersecurity and the impact these emerging technologies have on day-to-day human lives. When not working on a story, he spends his time reading tech novels and watching sci-fi movies and series.