1 00:00:04,490 --> 00:00:05,320 Hello. 2 00:00:05,320 --> 00:00:07,690 This week we'll discuss how analytics 3 00:00:07,690 --> 00:00:10,100 can be used to make recommendations 4 00:00:10,100 --> 00:00:12,020 for movies and for health. 5 00:00:12,020 --> 00:00:14,190 In the first lecture, we discuss how 6 00:00:14,190 --> 00:00:17,130 Netflix offered the million dollar prize 7 00:00:17,130 --> 00:00:19,700 to improve their movie recommendation system. 8 00:00:19,700 --> 00:00:22,620 In the second lecture, we discuss how health care claims 9 00:00:22,620 --> 00:00:26,210 data can be used to predict the occurrence of a heart attack 10 00:00:26,210 --> 00:00:29,040 and to better understand patterns. 11 00:00:29,040 --> 00:00:31,360 Through these examples, we'll discuss the method 12 00:00:31,360 --> 00:00:34,550 of plastering, which is used to find similarities 13 00:00:34,550 --> 00:00:36,020 and patterns in data. 14 00:00:36,020 --> 00:00:38,000 Let's get started.