This FDP has been proposed to have deeper insights about how much understanding of data , it’s statistics , it’s interpretation is important before we use ML techniques on them.
We had eminent faculties from various Institutes across India. We had a182 participants who attended this FDP from Institutes like VTU-Belagavi, SJCE-Mysore, Acharya Institute-Bengaluru, Canara Engineering College-Mangalore, Sai Vidhya Institute, East Point College of Engineering, ITM Group of Colleges -Gwalior, Presidency University- Bangalore, PES University -Bangalore, BNMIT -Bangalore, CMR University -Bangalore, Nitte Meenakshi-Bangalore, Global Academy Technology-Bangalore, KNS Institute Of Technology-Belahalli, Alliance College of Engineering and Design, Alliance University, , KLS VDIT-Haliyal, Sri Sairam college of Engineering-Bangalore, Ramaiah Institute of Technology-Bangalore, Dayanada Sagar University-Bangalore, NMAM Institute of Technology, Nitte, St.Joseph Engineering College, Mangalore, Institute of Engineering and Management-Kolkata, KSIT-Bangalore, SGBIT-Belagavi, JSSSTU-Mysuru, GMIT-Davanagere, REVA University-Bangalore, RNSIT-Bangalore, Shri Madhwa Vadiraja Institute of Technology and Management-Bantakal,Udupi, DSCE-Bangalore, APS College of Engineering-Bangalore, Velammal Institute Of Technology , Anna University-Chennai, DSATM-Bangalore, JSS academy-Bangalore, BCE, Shravanabelagola, Ambedkar Institute of Technology-Bangalore, Ballari Institute of Technology and Management-Ballari, T. John Institute of Technology-Bangalore, Coorg Institute of Technology, Rajagiri College of Social Sciences-Kochi, SDMCET-Dharwad, KIT -Tiptur, Ramaiah University of Applied Sciences, Bangalore Institute of Technology-Bangalore and RVITM-Bangalore.

The speakers of all the sessions were welcomed and so were the participants. The speakers were from premier Institutes like BITS, GOA, National Institute of Advanced Studies, Bangalore, RNSIT Bangalore , RVITM, Bangalore. PES University Bangalore, and Industry experts from AlmaBetter Bengaluru, WadhwaniAi, Symphony RetailAi, Siemens Technology. They all have vast and deep knowledge in the area of data science and machine learning in their working domains and hence will introduce. The Schedule is given below.