Cap­i­tal One DataLabs hosts the Ma­chine Learn­ing Sum­mit

The DQWeek (Chennai) - - CHANNEL BONANZA - DQW NEWS BUREAU Ben­galuru

Cap­i­tal One DataLabs, In­dia or­ga­nized their 2nd An­nual Ma­chine Learn­ing Sum­mit in Ben­galuru. The coun­try’s top aca­demi­cians and prac­ti­tion­ers as­sem­bled at the Sum­mit to dis­cuss cut­ting edge re­search and ap­pli­ca­tions of Al­go­rithms, Tools, and Plat­forms in the Ma­chine Learn­ing area.

The con­fer­ence hosted top aca­demi­cians from the In­dian Sta­tis­ti­cal In­sti­tute (ISI) Kolkata and the In­dian In­sti­tute of Sci­ence (IISc) Ban­ga­lore. The chief guest of the event was the Direc­tor of the In­dian Sta­tis­ti­cal In­sti­tute, Prof. Sang­hami­tra Bandyopadhyay. She shared her per­spec­tives on the fu­ture po­ten­tial of Ma- chine Learn­ing and talked about a break­through tech­nique of ap­ply­ing Ge­netic Al­go­rithms to solve op­ti­miza­tion prob­lems faced by data sci­en­tists.

Prof. Partha Taluk­dar from the Depart­ment of Com­put­ing and Data Sci­ence at IISc talked about Goal Directed Knowl­edge Graphs. He said that knowl­edge har­vest­ing from Web-scale text datasets has emerged as an im­por­tant and ac­tive re­search area over the last decade re­sult­ing in the au­to­matic con­struc­tion of large knowl­edge bases (KBs) con­sist­ing of mil­lions of en­ti­ties and re­la­tion­ships among them. He ex­plained how this has the po­ten­tial to rev­o­lu­tion­ize Ar­ti­fi­cial In­tel­li­gence and in­tel­li­gent de­ci­sion mak­ing by re­mov­ing the “knowl­edge bot­tle­neck” which has plagued sys­tems in these ar­eas all along. Prof. Chi­ran­jib Bhat­tacharya from IISc talked about a va­ri­ety of tech­niques used in ‘In­for­ma­tion Re­trieval’ from data. There was a dis­cus­sion on Op­ti­cal Char­ac­ter Recog­ni­tion (OCR) tech­niques and al­go­rithms by Prof. Ut­palGarain from ISI and other re­searchers in the field. Jay Shah and Aashish Ban­si­wala from Cap­i­tal One’s DataLabs shared their per­spec­tives on the use of cut­ting edge Ma­chine Learn­ing tech­niques to solve in­dus­trial scale prob­lems in the Fi­nan­cial Ser­vices do­main. Other dis­cus­sions in­cluded the cor­re­la­tion of so­cial be­hav­ior data with fi­nan­cial de­ci­sions, and re­cent re­search on nat­u­ral lan­guage pro­cess­ing and com­puter vi­sion.

The Sum­mit also de­voted time to un­der­stand how com­pu­ta­tional abil­i­ties and the data en­vi­ron­ment are evolv­ing to keep pace with the ad­vance­ment of the re­search in Ma­chine Learn­ing. Lead­ing the dis­cus­sion, Prof. Yogesh Simmhan from IISc shared his re­search on Scal­able Data Plat­forms for Net­work and Stream An­a­lyt­ics. Cap­i­tal One’s Ra­jeev Ti­wari shared his per­spec­tive on how lead­ing com­pa­nies are step­ping up to re­vamp their data and com­pu­ta­tional en­vi­ron­ment by lever­ag­ing cloud com­put­ing.

The Sum­mit con­cluded with a lively panel dis­cus­sion where fu­ture ap­pli­ca­tions of Ma­chine Learn­ing in a va­ri­ety of ar­eas were dis­cussed.

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