1 00:00:01,033 --> 00:00:04,000 Hello and welcome back to the Machine Learning A-To-Z course. 2 00:00:04,000 --> 00:00:06,800 Super excited to have you back here on board 3 00:00:06,800 --> 00:00:09,800 for this new part on Natural Language processing. 4 00:00:10,066 --> 00:00:14,633 In this quick tutorial, we'll go over what is coming up for us in terms of the 5 00:00:14,633 --> 00:00:18,833 intuition of videos to better understand natural language processing. 6 00:00:19,133 --> 00:00:22,800 So first thing that I wanted to mention is that the upcoming videos 7 00:00:22,800 --> 00:00:27,766 that you will see are actually taken from a specialized course 8 00:00:27,766 --> 00:00:30,133 that we have in the space of natural language processing. 9 00:00:30,133 --> 00:00:33,000 It's called Deep Learning and NLP A to Z. 10 00:00:33,000 --> 00:00:36,766 And why I'm saying that is you will hear references to things 11 00:00:36,766 --> 00:00:40,733 like deep learning or sector set models and other things. 12 00:00:41,366 --> 00:00:45,133 so I wanted to clarify what is important to us 13 00:00:45,133 --> 00:00:48,900 in this specific part of the course and what needs to be disregarded. 14 00:00:48,900 --> 00:00:50,000 So let's have a look. 15 00:00:50,000 --> 00:00:53,333 in this section, here is what we'll be focusing on. 16 00:00:53,600 --> 00:00:58,066 So we will have a tutorial on types of natural language processing. 17 00:00:58,066 --> 00:01:00,233 So we'll discuss all different sorts of types. 18 00:01:00,233 --> 00:01:04,666 And I think that's a great way to become aware of what exists 19 00:01:04,666 --> 00:01:06,800 in the world of natural language processing, 20 00:01:06,800 --> 00:01:09,900 even if it includes, the deep learning models 21 00:01:09,900 --> 00:01:12,000 or even the more advanced sectors like model. 22 00:01:12,000 --> 00:01:13,900 So you'll hear those terms. 23 00:01:14,900 --> 00:01:16,133 but our focus 24 00:01:16,133 --> 00:01:19,866 here will be on a different type of natural language processing. 25 00:01:19,866 --> 00:01:21,933 Why don't we should we'll come up just now. 26 00:01:21,933 --> 00:01:24,900 then you'll actually have a, we'll have a tutorial 27 00:01:24,900 --> 00:01:28,200 on classical versus deep learning models. 28 00:01:28,700 --> 00:01:31,366 and we'll discuss the differences between 29 00:01:31,366 --> 00:01:34,500 them and a different kind of use case and some, some examples as well. 30 00:01:34,500 --> 00:01:38,433 Again, to increase our awareness of the space of natural language processing. 31 00:01:38,933 --> 00:01:42,533 And finally, we'll have a tutorial specifically dedicated 32 00:01:42,533 --> 00:01:44,100 to the bag of words model. 33 00:01:44,100 --> 00:01:47,933 So that is the main tutorial that we need to be, focusing on, 34 00:01:47,933 --> 00:01:50,933 because that's the model that you will be building together 35 00:01:50,933 --> 00:01:54,100 with and learn in the practical tutorials. 36 00:01:54,100 --> 00:01:58,766 And we'll get the intuition behind Bag of Words in this, in this tutorial. 37 00:01:59,100 --> 00:02:01,866 And just so that we're on the same page in 38 00:02:01,866 --> 00:02:06,066 this, part or in this course, on machine learning, it's Z. 39 00:02:06,066 --> 00:02:09,566 We're not going to be talking about the to six model or chatbots 40 00:02:10,200 --> 00:02:12,300 or deep natural language processing. 41 00:02:12,300 --> 00:02:15,900 Those are more advanced topics if you'd like to discover them and take 42 00:02:15,900 --> 00:02:19,400 your natural language processing skills further after this section, of course, 43 00:02:19,966 --> 00:02:23,333 you can always have a look, and we invite you to have a look at our, 44 00:02:23,333 --> 00:02:26,833 course that was mentioned just before, 45 00:02:27,200 --> 00:02:30,400 deep learning and natural language processing A to Z. 46 00:02:30,600 --> 00:02:32,166 And you can find a lot of those things there. 47 00:02:32,166 --> 00:02:36,100 But even these this awareness of natural language processing 48 00:02:36,300 --> 00:02:39,166 and this bag of words modeling, the practical applications 49 00:02:39,166 --> 00:02:42,333 that you'll be discussing with a lot is going to be a great start 50 00:02:42,333 --> 00:02:47,000 into the world of NLP and will allow you to practice 51 00:02:47,000 --> 00:02:51,300 certain skills of, pulling text apart and getting insights from text. 52 00:02:51,533 --> 00:02:53,300 Very exciting tutorials coming up. 53 00:02:53,300 --> 00:02:57,100 Can't wait for you to get started with this part of the course. 54 00:02:57,100 --> 00:03:00,100 So without further ado, let's dive straight into it. 55 00:03:00,133 --> 00:03:02,200 And until next time, happy analyzing!