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Innhold levert av givingBack नेपाली Podcast and GivingBack नेपाली Podcast. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av givingBack नेपाली Podcast and GivingBack नेपाली Podcast eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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Natural Language Processing | Rajendra Banjade, Ph.D. | Nepali Podcast - givingBack | Ep 26

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Innhold levert av givingBack नेपाली Podcast and GivingBack नेपाली Podcast. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av givingBack नेपाली Podcast and GivingBack नेपाली Podcast eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Guest: Rajendra Banjade, Ph.D . Rajendra Banjade has been working in a managerial role in data science at Audible (Amazon company) for more than three years and is based in New Jersey. His focus is on Natural Language Processing (NLP), Machine Learning (ML), and data science in general, and his work at Audible includes supporting business decisions and improving customer experience by analyzing a vast amount of contents, such as texts from books and customer activities and building predictive models. Rajendra received his MS & Ph.D. in computer science from the University of Memphis, Tennessee. During his graduate study, he did research on NLP with the target application of dialog-based tutoring systems where students learn from the computer (intelligent) tutor through natural language interactions. Rajendra did a bachelor's in computer engineering from IOE, Pulchowk Campus, and before joining the graduate course, he worked as a software engineer at US-based healthcare data analytics and software company called COTIVITI Nepal (formerly known as Verisk, Versand, D2HawkeyeServices). He likes to play with his daughter in his free time and he has also developed some interest in writing. He grew up in a village in Arghakhanchi and aims to help some underprivileged students in his place to get technical education. But he also likes sharing his knowledge and helping aspiring data scientists whenever possible. . Connect with Rajendra: https://www.linkedin.com/in/rbanjade/ === About Host: . Sanjib Lamichhane Twitter: @sanjib_la IG: @sanjib.lamichhane https://www.sanjiblamichhane.com/ === Download our episodes on: . iHeartRadio: https://www.iheart.com/podcast/256-givingback-podcast-43067191 Radio Public:https://radiopublic.com/givingback-podcast-WkP7YM . Spotify: https://open.spotify.com/show/473BXymyKIGxH0o8PWLuV2 Apple Podcast: https://itunes.apple.com/us/podcast/givingback-podcast/id1450278650?mt=2&uo=4 Google Podcast: https://www.google.com/podcasts?feed=aHR0cHM6Ly9hbmNob3IuZm0vcy84YjY0OGJjL3BvZGNhc3QvcnNz . Breaker: https://www.breaker.audio/givingback-podcast Overcast:https://overcast.fm/itunes1450278650/givingback-podcast Pocket Cast: https://pca.st/S620 PodBean: https://www.podbean.com/podcast-detail/6p7a3-99fff/givingBack-Podcast === Timestamps: 00:46 | How Siri and Alexa work? 02:24 | Natural Language Processing (NLP) 04:03 | History and development of NLP 07:21 | How’s NLP related to Machine Learning? 09:35 | Projects methodology 12:59 | Dealing with sarcasm 14:11 | Challenges of NLP 17:27 | Current research works 19:27 | Background story of Rajendra 24:06 | Dialog-based tutoring system 25:10 | Audible 26:25 | Future tech prediction 31:55 | Academic vs. Professional work expectations 35:10 | Nepali Language’s datasets and interpretability ( Audience’s Question) 39:28 | Why should companies invest in Nepali languages’ research? 42:06 | End goal of NLP 46:29 | Is AI overhyped? 48:48 | Biasness and fake news 50:42 | Job Prospects 53:54 | Why Ph.D.? 57:04 | Academics to Managerial Role 59:17 | giving away === Please drop a comment telling us how you like the podcast. You can let us know how we can make it better for you and even suggest new topics you’d like to be discussed or even better -- suggest a guest! Hmm.. not feeling like dropping a comment? Here's an anonymous survey you can fill. We do not need your name and email. https://forms.gle/EoBso3HMNAxzxjgS6 === . Thanks for supporting us. Subscribe to us whenever you get your podcast. Visit www.merogb.com for more information. === --- Support this podcast: https://podcasters.spotify.com/pod/show/givingbackpodcast/support
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38 episoder

Artwork
iconDel
 
Manage episode 327441791 series 3121825
Innhold levert av givingBack नेपाली Podcast and GivingBack नेपाली Podcast. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av givingBack नेपाली Podcast and GivingBack नेपाली Podcast eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Guest: Rajendra Banjade, Ph.D . Rajendra Banjade has been working in a managerial role in data science at Audible (Amazon company) for more than three years and is based in New Jersey. His focus is on Natural Language Processing (NLP), Machine Learning (ML), and data science in general, and his work at Audible includes supporting business decisions and improving customer experience by analyzing a vast amount of contents, such as texts from books and customer activities and building predictive models. Rajendra received his MS & Ph.D. in computer science from the University of Memphis, Tennessee. During his graduate study, he did research on NLP with the target application of dialog-based tutoring systems where students learn from the computer (intelligent) tutor through natural language interactions. Rajendra did a bachelor's in computer engineering from IOE, Pulchowk Campus, and before joining the graduate course, he worked as a software engineer at US-based healthcare data analytics and software company called COTIVITI Nepal (formerly known as Verisk, Versand, D2HawkeyeServices). He likes to play with his daughter in his free time and he has also developed some interest in writing. He grew up in a village in Arghakhanchi and aims to help some underprivileged students in his place to get technical education. But he also likes sharing his knowledge and helping aspiring data scientists whenever possible. . Connect with Rajendra: https://www.linkedin.com/in/rbanjade/ === About Host: . Sanjib Lamichhane Twitter: @sanjib_la IG: @sanjib.lamichhane https://www.sanjiblamichhane.com/ === Download our episodes on: . iHeartRadio: https://www.iheart.com/podcast/256-givingback-podcast-43067191 Radio Public:https://radiopublic.com/givingback-podcast-WkP7YM . Spotify: https://open.spotify.com/show/473BXymyKIGxH0o8PWLuV2 Apple Podcast: https://itunes.apple.com/us/podcast/givingback-podcast/id1450278650?mt=2&uo=4 Google Podcast: https://www.google.com/podcasts?feed=aHR0cHM6Ly9hbmNob3IuZm0vcy84YjY0OGJjL3BvZGNhc3QvcnNz . Breaker: https://www.breaker.audio/givingback-podcast Overcast:https://overcast.fm/itunes1450278650/givingback-podcast Pocket Cast: https://pca.st/S620 PodBean: https://www.podbean.com/podcast-detail/6p7a3-99fff/givingBack-Podcast === Timestamps: 00:46 | How Siri and Alexa work? 02:24 | Natural Language Processing (NLP) 04:03 | History and development of NLP 07:21 | How’s NLP related to Machine Learning? 09:35 | Projects methodology 12:59 | Dealing with sarcasm 14:11 | Challenges of NLP 17:27 | Current research works 19:27 | Background story of Rajendra 24:06 | Dialog-based tutoring system 25:10 | Audible 26:25 | Future tech prediction 31:55 | Academic vs. Professional work expectations 35:10 | Nepali Language’s datasets and interpretability ( Audience’s Question) 39:28 | Why should companies invest in Nepali languages’ research? 42:06 | End goal of NLP 46:29 | Is AI overhyped? 48:48 | Biasness and fake news 50:42 | Job Prospects 53:54 | Why Ph.D.? 57:04 | Academics to Managerial Role 59:17 | giving away === Please drop a comment telling us how you like the podcast. You can let us know how we can make it better for you and even suggest new topics you’d like to be discussed or even better -- suggest a guest! Hmm.. not feeling like dropping a comment? Here's an anonymous survey you can fill. We do not need your name and email. https://forms.gle/EoBso3HMNAxzxjgS6 === . Thanks for supporting us. Subscribe to us whenever you get your podcast. Visit www.merogb.com for more information. === --- Support this podcast: https://podcasters.spotify.com/pod/show/givingbackpodcast/support
  continue reading

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