Ludhiana, February 4, 2019: Machine Learning is the discipline of designing algorithms that allow machines (e.g., a computer) to learn patterns and concepts from data without being explicitly programmed. To address its specific areas, a five day short term course sponsored by Quality improvement program on " Machine Learning Applications in Engineering" from February 4, 2019 to February 8, 2019 is being organized by the department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, Ludhiana.
Dr. S.S Gill, Professor and Head, department of ECE, GNDEC, Ludhiana has given the brief overview of the course. In his remarks, he also specified the prime intent behind this course is introduction to the design (and some analysis) of Machine Learning algorithms with a modern outlook and focusing on the recent advances. Also, it will provide an opportunity to the participants to learn real-world applications of Machine Learning algorithms. Dr. Sehijpal Singh, Principal, GNDEC graced the occasion with his presence. He congratulated department of Electronics and Communication Engineering, GNDEC for bringing a much needed topic in the form of this five day short term course.
The keynote address was given by Dr. Kanav Kahol (Guest of honour), Chief Technical Officer in Pink Rickshaw Design Organization. He discussed numerous applications of Machine Learning designed by him serving in various Rural areas. He highlighted that machine learning is so pervasive today and we probably use it dozens of times a day without even knowing it. He mentioned that this course will pave ways for enhancing R&D activities in the field of Machine Learning and Artificial Intelligence.
According to Prof. Tarandeep Singh, Co-coordinator of the course, around 60 faculty members and research scholars from different colleges are participating in this course. Experts from IITs, NITs and other renowned academic institutions besides faculty members from GNDEC, Ludhiana will deliver expert talks in coming days of the program on Advanced surveillance systems, multi-sensor data fusion and disruptive applications of Artificial intelligence.