Short-Term Online Training Overview of the Course: Intended Participants: Program Machine learning techniques are used in different do- The teachers of the TEQIP funded Engineering Colleges are mains. There are several courses which cover different eligible under this scheme. They can attend this course with- out paying any fee. Faculty members from the streams such on machine learning techniques for a particular domain. However, this course will provide an excellent oppor- as Computer Science, Information Technology and Electri- tunity to explore machine learning techniques used cal / Electronics & Communication Engineering and other related streams are encouraged to apply under this program. Machine Learning Techniques for for a number of applications in different research do- The seats are limited, which would be filled on a first come mains. Participants of this course can feel an essence Cross-domain Applications first serve basis and the candidate’s field of research interest. of how a machine learning technique solves the prob- To check the list of eligible TEQIP colleges check following lem in various research domains. links: Dec 21 - 26, 2020 1. http://www.npiu.nic.inteqip3subcomponent_1_1.html Learning Objectives: 2. http://www.npiu.nic.inteqip3subcomponent_1_3.html This course will provide an exhaustive introduction into Sponsored by the application areas of Machine Learning. Participants Participants other than teachers of TEQIP approved colleges are expected to learn about various applications of Ma- (students and participants from industry etc.) can also attend chine Learning in different domains of commercial and the course by paying a fee. For any query, drop an email to [email protected] research usage. This course should prepare the partici- pants to choose the most appropriate area of application. Course Fee: INDIAN INSTITUTE OF TECHNOLOGY This can help them to identify the area of their future KIT- IITI-TEQIP -III employment or career advancement. • Faculty member from TEQIP funded Institutes: No fee (however prior registration is must). Topics to be Covered (Tentative): • Faculty members/students from non-TEQIP funded insti- tutes: Rs. 5,000. • Basics of Machine Learning Techniques • Industry personals and others: Rs. 10,000. • Advance Application of Machine Learning in: • Participants from outside : USD 500.  Image and Signal Processing • Online Payment : http://www.iiti.ac.in/page/e-payments  Navigation and Communications • Bank Transfer:  Biometrics Security Organized By Beneficiary Name: Registrar IIT Indore; Bank Name : Cana-  Space Applications Discipline of Computer Science & Engineering ra bank; Branch: IIT Indore, Khandwa Road, Simrol, Indore. &  Video Analysis A/C: 1476101027440, IFS Code: CNRB0006223 Discipline of Astronomy, Astrophysics and  Medical Imaging • A soft copy of the completely filled registration form Space Engineering  Financial Sector (along with online payment slip, if any, for the course fee) Indian Institute of Technology Indore should be sent by email to [email protected] on or be- Indore-453552, INDIA Resource Persons : fore December 20, 2020 Course Coordinators Dr. Somnath Dey, CSE, IIT Indore How to Apply: Dr. Somnath Dey & Dr. Abhirup Datta Dr. Abhirup Datta, DAASE, IIT Indore Indian Institute of Technology Indore Dr. Surya Prakash, CSE, IIT Indore To apply please click here. Alternatively, copy the link Indore-453552, , INDIA Dr. Puneet Gupta, CSE, IIT Indore https://forms.gle/xCyoio3qDg9pqb9M8 and paste it on your Phone: +91 731-660-3242(Ext-524) Dr. Vivek Kanhangad, EE, IIT Indore browser window to open the registration page. Email: [email protected]/ Dr. Pratik Chattopadhyay IIT BHU Note: After successful completion of program, a certificate [email protected] Dr. Debdoot Sheet, IIT Kharagpur of participation will be given to the participants.