PESTEL

  Alright, so, welcome to the AI course, from today we are going to talk about the technical aspects of AI. And before I start I want to mention that while I am going to be presenting the course, I have I am really standing on the shoulders of giants in other words, there are a lot of lot of people who have taught AI taught AI really, really well taught AI probably much better than me, taught AI I have learned AI lot from them and so on so forth. And I have learned from many such people and the slides that I will be using will be stolen from different places of course with you know, some, some permission, some permission, I would say. And so, because of that, you know, we will be sort of taking interesting bits from wherever I found and combining them in the course, I should also point out that I am going to credit all the people that have taken slides from in the first slide, not on individual slides, but you know, I really, really thank them for developing this course for me and ...

 welcome to machine learning for engineering and science applications I am Balaji Srinivasan I am in the mechanical engineering department hi I'm gonna put the Krishna mood I am in the department of engineering design and both of us are from iit madras so if we look at various applications that all of us are using already in real life for example this is Amazon's recommender system some of you might have seen Amazon echo which is a speech recognition system of course everybody has used Gmail spam classifier and this is Google Lexus this is a latest self-driving car all of these use machine learning algorithms in one way or the other our purpose in this course is to try and utilize the same algorithms for more general problems for example medical image diagnosis or for speeding up CFD computations we look at the course aims basically we will try to understand some of the basic machine normal learning models thoroughly with specific emphasis on deep learning which is the current ...

So far, we have looked at the materials that changed the history. So, we looked at wood, ceramics, fiber and cloth, and so on. So now, let us look at the concept of what do we mean by material science and what do we mean by materials engineering. Or, in other words, let us see what is -- how these two fields of study have been classified. So, the material science per se actually deals with the structure-property correlations. So, basically, what is the structure and what is the property that is obtained in the material through that structure? So, material science deals with the structure-property correlations, while materials engineering deals with designing or engineering of the structure of a material for specific application. So, basically it relies on structure-property correlations, and it takes from there, and then tries to design structures or components for a material -- of a material, for a specific application in mind. So, what do we mean by structure? A structure is nothing ...