1 00:00:05,426 --> 00:00:06,950 Welcome to Classification. 2 00:00:06,950 --> 00:00:10,590 This is the third class in our machine learning specialization. 3 00:00:10,590 --> 00:00:14,720 I'm Carlos Guestrin and together we're going to go through the basics to 4 00:00:14,720 --> 00:00:19,150 the fundamentals to actually building real world classifiers. 5 00:00:19,150 --> 00:00:23,490 It's going to be fun, exciting, bit of work, maybe tons of work, but 6 00:00:23,490 --> 00:00:26,140 you'll come out the other side being really an expert, and 7 00:00:26,140 --> 00:00:30,610 a lot of the core techniques that you need to build classifiers in the real world. 8 00:00:32,410 --> 00:00:36,370 This course is the third course over six course Specialization Machine Learning. 9 00:00:36,370 --> 00:00:40,790 In the first one we outlined the basics of machine learning 10 00:00:40,790 --> 00:00:45,410 using the techniques as input output black boxes. 11 00:00:45,410 --> 00:00:49,985 From the second course onward, we're actually understanding the depths of each 12 00:00:49,985 --> 00:00:53,660 algorithm and implementing them from scratch ourselves. 13 00:00:53,660 --> 00:00:58,130 The first course on regression was really fun and exciting and 14 00:00:58,130 --> 00:00:59,620 I'm really glad of that. 15 00:00:59,620 --> 00:01:03,930 I'm leading this course on classification which will be followed by a course on 16 00:01:03,930 --> 00:01:07,450 clustering, one on recommender systems, and 17 00:01:07,450 --> 00:01:11,720 finally our capstone project where your going to use deep learning and 18 00:01:11,720 --> 00:01:16,480 text analytics to build a whole new kind of product recommender and 19 00:01:16,480 --> 00:01:18,380 apply it as a real time service.