 कमpeuter सोचरा होतर, और कमpeuter को हम train करते है, ठिक्किंकिंके, विदाउत विँमन अंटर्फेर्ट्फ्यट्स. जब मैं ही कैपाजा तो जुन्या में कोई और्ग़नाजाशन यह बगार सरवाईब नहीं कर सकती, तो आब ये देखें के हर औरगनाज़ेशन में जोबस होंगी फिस टीस की दिखान साप, स्वोरी तो अई तर प्यु कैसे है आप जी आलाम देला चीके, सर क्विक्ली अगेन जैसा हम आशाप से क्विक्ली पूँछते है कह जमें मी साप, बहुत की मचीन शैंगी लेँगा 없이 आई बाहुत? बागत है, सी वहात मैं कोई आगगा कोगेगा साप ஒगी, जों थोअ छीृन कमजग नहीं है, बहुत सो लग, यह टरम्जेंग फिलिग कर तेई्गा देखा साप, अरी ज़ें का लगा हैं के बाध़ंग चान लगा दरे द़े कि सब �íसे कि नोग जो वग चील नहीं तो ठ सक्टा ळहएद बाब नब द olm चील लिएगने बाध़ने तिशा ठा या रोगगे ख़गे देखान साग। ब्रसिजेर्तार्टेगे अंगा फ्वा वी लिगतेगे नहीं कि अपनोईमा सेगा नहीं लिए बिमे आपनी एक नहीं ळीग बफ्तेथगे治े वो इसरा प्या अपनीग लोगा लूँपनीग तरीकतिर्टे की आपको अपनीग क्या उपनीग की रहंग के प्रह मेखा चुंकत् तुब आई आई आई आई ज़ेज यह देटा से। अन दैटीखारे मैं जेटिलेग शीन बगने में करती है, बैसए देटा खी लेक भी न वह प्र� lot of data we are feeding to the machine learning तुछ आई प्यड्स देटा एक रांग of their different term on the other hand, in machine learning, machine decision making is done based on the data we are feeding to the machine learning so these are the different terms. I will clarify one more term, deep learning people confuse deep learning with machine learning deep learning is the subset of machine learning deep learning is mainly about images when we are processing images, reading images, reading content on images if you are uploading images in Google, then Google will give you results in that image so deep learning algorithms are there which are processing images and the last thing, if you have given a course in Shirdi, NLB NLB is the other application in which natural language means which we process text, we have created models for that this is an important concept, we have to understand for everyone that these things are not seen they are segregated based on the functionalities I hope that answers the question thank you what is the purpose of machine learning? the major purpose of machine learning is prediction decision making, computer thinking and we train the computer on thinking without human interference based on the data, we are thinking of machine thinking on your behalf we often say that AI is going to replace humans so basically your productivity goes up the work that a person has to do with his mind he must be computing on your behalf the tons of data we waste through machine learning we can take useful information, useful decision making useful predictions and projections the purpose of machine learning is that we are replicating human decision making on computer thinking thank you the machine that you are seeing on your behalf have you come up with the concept of machine learning? see, their connection with machine learning is very deep now the audience may be worried about their connection with machine learning see, if we are there then machine learning is there and if this is there then we are there as I said, your mental health cannot be healthy so these things are necessary for mental health and if your mental health is good then machine learning directly you connect with it that is why I said that this is also machine learning what are the applications of machine learning in different walks of life, especially in media? because you are media so I will talk about the media primarily I think that you have revolutionized machine learning in media let's say Facebook Facebook is giving you recommendations you are personalizing you are getting the content that you want to see every person is showing different content on the same Facebook content segmentation content segmentation is very important in media you can take Netflix most of Netflix's algorithms are on ML algorithm there is content recommendation you can take sentimental analysis on which government becomes government goes this is on sentimental analysis and media people are using it you can see auto content generation you can see image processing in which deep learning application comes if you use AI to smartly utilize deep learning then you are generating automatic reports in media basically in media media is very sharp the reporter who used to search for something from morning till evening and then he used to spend 10 days on it to drive comprehensive data you have converted ML and AI in min or second so as I said ML AI has revolutionized the media but you have a clear concept as you asked what is the role of machine learning it is not all about machine learning it is about data size AI machine learning deep learning NLP that is why I say these are the terms about which every person should know about the media what is natural language processing what is sentimental analysis what is deep learning what is machine learning what is AI what is data sense what is it you should know it on a very basic level all these together revolutionize the media and our life you have talked about Facebook or the different platforms of social media what is happening with Twitter what has happened to Twitter where has Mr. Planet Musk since he came he is experiencing experiments it is a human nature if you pay attention whenever there is any change we resist it we easily accept it it is human nature it is my belief Elon Musk is a visionary man he will change things he is an entrepreneur by nature he will change things he will experiment but for betterment he will embed that AI further but it will be better than before this speculation will end Twitter will sink there will be any other platform as a technical person I don't believe in any of these because I have seen his achievement and thought process when he was working on SpaceX when he was exploding the world was still doubting him the world was doubting PayPal the world was doubting Hyperloop so if he has done so much what is Twitter in front of him we just have to be patient and watch these experiments are just a change which is for betterment my belief it means if there is good news that Twitter is not going anywhere it is getting better my next question is for our students who are watching the future career especially in machine learning what is the business perspective of this machine learning look it is huge I say you will have to be out of the training technology overall I mentioned the AI back IoT, blockchain AI, cyber security this is the future of every organization when I say that no organization in the world can survive without them then you will see that in every organization there will be jobs of these things I will give you an example now think about it naturally think about it which organization in the world who does not have data and which organization in the world who decides without looking at the data but if everything is on data and to handle that data we need data science so this means that the future is only data science have you heard the term the future is data the next world war is on data right so what is data data itself is nothing if there is no data science and what is data science AI, ML, NLP deep learning this is it this is the scope the question does not arise because we have our future we have to start preparing ourselves from today but don't make a mistake when a child is watching this video today he will leave the job of the wordpress he will say yes sir said tomorrow AI will come let's do fast AI let's go home let's go to the kitchen let's go to the AI do a slow transition do a smart transition but start from today and there is a lot of scope