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使用machine learning構(gòu)建金融大數(shù)據(jù)風控的最佳實踐

VISA 決策分析高級經(jīng)理

An experienced R&D scientist specialized in big data driven modeling and strategic analytics, performed development of big data analytics and machine learning for multiple national projects; Track record of providing valuable insight that reduces complexity, and an ability to quickly grasp parameters of new problems

== Experience ==
? 12 years of experience in mathematical modeling, prototyping, and algorithm development
? 10 years of hands-on experience on Linux, Cygwin/Windows, VMWare, and Mac OS X
? 3+ years of scientific computing experience on parallel supercomputers
? expertise in computer simulation, and discovery of the underlying law of particle interactions, as well as social network interactions towards business decisions
? solved business problems through data driven quantitative methodologies at Visa Labs, a problem solver
? experienced in driving context-based business intelligence, motivated in technology innovations

An experienced R&D scientist specialized in big data driven modeling and strategic analytics, performed development of big data analytics and machine learning for multiple national projects; Track record of providing valuable insight that reduces complexity, and an ability to quickly grasp parameters of new problems == Experience == ? 12 years of experience in mathematical modeling, prototyping, and algorithm development ? 10 years of hands-on experience on Linux, Cygwin/Windows, VMWare, and Mac OS X ? 3+ years of scientific computing experience on parallel supercomputers ? expertise in computer simulation, and discovery of the underlying law of particle interactions, as well as social network interactions towards business decisions ? solved business problems through data driven quantitative methodologies at Visa Labs, a problem solver ? experienced in driving context-based business intelligence, motivated in technology innovations

課程費用

6800.00 /人

課程時長

3小時

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課程簡介

使用machine learning構(gòu)建金融大數(shù)據(jù)風控的最佳實踐

目標收益

互聯(lián)網(wǎng)金融健康發(fā)展的核心是風險控制,其依托互聯(lián)網(wǎng)獲取用戶的網(wǎng)上消費行為數(shù)據(jù)、通訊數(shù)據(jù)、信用卡數(shù)據(jù)、第三方征信數(shù)據(jù)等豐富而全面的數(shù)據(jù),可以借助機器學習的手段搭建大數(shù)據(jù)風控系統(tǒng)。本課程將介紹使用機器學習構(gòu)建金融大數(shù)據(jù)風控的最佳實踐。

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