1 00:00:00,000 --> 00:00:04,246 [MUSIC] 2 00:00:04,246 --> 00:00:06,450 Today we're gonna talk about classification. 3 00:00:06,450 --> 00:00:09,550 Which is perhaps one of the most common areas of machine learning, 4 00:00:09,550 --> 00:00:12,900 one of the most used, and useful areas of machine learning. 5 00:00:12,900 --> 00:00:16,350 And perhaps, one of those most intuitive ones as well. 6 00:00:16,350 --> 00:00:19,790 So things like figuring out whether your email's spam or 7 00:00:19,790 --> 00:00:24,390 not, or whether a document comes from a sports topic, or 8 00:00:24,390 --> 00:00:28,920 it's about politics, or it's about entertainment, and so on. 9 00:00:28,920 --> 00:00:32,188 But as usual, we're going to start with a use case, 10 00:00:32,188 --> 00:00:35,699 which is an exciting one, around restaurant reviews. 11 00:00:35,699 --> 00:00:38,889 [MUSIC]