DataTalks.Club

DataTalks.Club

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DataTalks.Club

DataTalks.Club - the place to talk about data!

OCT 10

Human-Centered AI for Disordered Speech Recognition - Katarzyna Foremniak

We talked about: 00:00 DataTalks.Club intro 08:06 Background and career journey of Katarzyna 09:06 Transition from linguistics to computational linguistics 11:38 Merging linguistics and computer science 15:25 Understanding phonetics and morpho-syntax 17:28 Exploring morpho-syntax and its relation to grammar 20:33 Connection between phonetics and speech disorders 24:41 Improvement of voice recognition systems 27:31 Overview of speech recognition technology 30:24 Challenges of ASR systems with atypical speech 30:53 Strategies for improving recognition of disordered speech 37:07 Data augmentation for training models 40:17 Transfer learning in speech recognition 42:18 Challenges of collecting data for various speech disorders 44:31 Stammering and its connection to fluency issues 45:16 Polish consonant combinations and pronunciation challenges 46:17 Use of Amazon Transcribe for generating podcast transcripts 47:28 Role of language models in speech recognition 49:19 Contextual understanding in speech recognition 51:27 How voice recognition systems analyze utterances 54:05 Personalization of ASR models for individuals 56:25 Language disorders and their impact on communication 58:00 Applications of speech recognition technology 1:00:34 Challenges of personalized and universal models 1:01:23 Voice recognition in automotive applications 1:03:27 Humorous voice recognition failures in cars 1:04:13 Closing remarks and reflections on the discussion About the speaker: Katarzyna is a computational linguist with over 10 years of experience in NLP and speech recognition. She has developed language models for automotive brands like Audi and Porsche and specializes in phonetics, morpho-syntax, and sentiment analysis. Kasia also teaches at the University of Warsaw and is passionate about human-centered AI and multilingual NLP. Join our slack: https://datatalks.club/slack.html

48 min
AUG 15

DataOps, Observability, and The Cure for Data Team Blues - Christopher Bergh

0:00 hi everyone Welcome to our event this event is brought to you by data dos club which is a community of people who love 0:06 data and we have weekly events and today one is one of such events and I guess we 0:12 are also a community of people who like to wake up early if you're from the states right Christopher or maybe not so 0:19 much because this is the time we usually have uh uh our events uh for our guests 0:27 and presenters from the states we usually do it in the evening of Berlin time but yes unfortunately it kind of 0:34 slipped my mind but anyways we have a lot of events you can check them in the 0:41 description like there's a link um I don't think there are a lot of them right now on that link but we will be 0:48 adding more and more I think we have like five or six uh interviews scheduled so um keep an eye on that do not forget 0:56 to subscribe to our YouTube channel this way you will get notified about all our future streams that will be as awesome 1:02 as the one today and of course very important do not forget to join our community where you can hang out with 1:09 other data enthusiasts during today's interview you can ask any question there's a pin Link in live chat so click 1:18 on that link ask your question and we will be covering these questions during the interview now I will stop sharing my 1:27 screen and uh there is there's a a message in uh and Christopher is from 1:34 you so we actually have this on YouTube but so they have not seen what you wrote 1:39 but there is a message from to anyone who's watching this right now from Christopher saying hello everyone can I 1:46 call you Chris or you okay I should go I should uh I should look on YouTube then okay yeah but anyways I'll you don't 1:53 need like you we'll need to focus on answering questions and I'll keep an eye 1:58 I'll be keeping an eye on all the question questions so um 2:04 yeah if you're ready we can start I'm ready yeah and you prefer Christopher 2:10 not Chris right Chris is fine Chris is fine it's a bit shorter um 2:18 okay so this week we'll talk about data Ops again maybe it's a tradition that we talk about data Ops every like once per 2:25 year but we actually skipped one year so because we did not have we haven't had 2:31 Chris for some time so today we have a very special guest Christopher Christopher is the co-founder CEO and 2:37 head chef or hat cook at data kitchen with 25 years of experience maybe this 2:43 is outdated uh cuz probably now you have more and maybe you stopped counting I 2:48 don't know but like with tons of years of experience in analytics and software engineering Christopher is known as the 2:55 co-author of the data Ops cookbook and data Ops Manifesto and it's not the 3:00 first time we have Christopher here on the podcast we interviewed him two years ago also about data Ops and this one 3:07 will be about data hops so we'll catch up and see what actually changed in in 3:13 these two years and yeah so welcome to the interview well thank you for having 3:19 me I'm I'm happy to be here and talking all things related to data Ops and why 3:24 why why bother with data Ops and happy to talk about the company or or what's changed 3:30 excited yeah so let's dive in so the questions for today's interview are prepared by Johanna berer as always 3:37 thanks Johanna for your help so before we start with our main topic for today 3:42 data Ops uh let's start with your ground can you tell us about your career Journey so far and also for those who 3:50 have not heard have not listened to the previous podcast maybe you can um talk 3:55 about yourself and also for those who did listen to the previous you can also maybe give a summary of what has changed 4:03 in the last two years so we'll do yeah so um my name is Chris so I guess I'm 4:09 a sort of an engineer so I spent about the first 15 years of my career in 4:15 software sort of working an

54 min
JUL 26

Working as a Core Developer in the Scikit-Learn Universe - Guillaume Lemaître

In this podcast episode, we talked with Guillaume Lemaître about navigating scikit-learn and imbalanced-learn. 🔗 CONNECT WITH Guillaume Lemaître LinkedIn - https://www.linkedin.com/in/guillaume-lemaitre-b9404939/ Twitter - https://x.com/glemaitre58 Github - https://github.com/glemaitre Website - https://glemaitre.github.io/ 🔗 CONNECT WITH DataTalksClub Join the community - https://datatalks-club.slack.com/join/shared_invite/zt-2hu0sjeic-ESN7uHt~aVWc8tD3PefSlA#/shared-invite/email Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/u/0/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ Check other upcoming events - https://lu.ma/dtc-events LinkedIn - https://www.linkedin.com/company/datatalks-club/ Twitter - https://twitter.com/DataTalksClub Website - https://datatalks.club/ 🔗 CONNECT WITH ALEXEY Twitter - https://twitter.com/Al_Grigor Linkedin - https://www.linkedin.com/in/agrigorev/ 🎙 ABOUT THE PODCAST At DataTalksClub, we organize live podcasts that feature a diverse range of guests from the data field. Each podcast is a free-form conversation guided by a prepared set of questions, designed to learn about the guests’ career trajectories, life experiences, and practical advice. These insightful discussions draw on the expertise of data practitioners from various backgrounds. We stream the podcasts on YouTube, where each session is also recorded and published on our channel, complete with timestamps, a transcript, and important links. You can access all the podcast episodes here - https://datatalks.club/podcast.html 📚Check our free online courses ML Engineering course - http://mlzoomcamp.com Data Engineering course - https://github.com/DataTalksClub/data-engineering-zoomcamp MLOps course - https://github.com/DataTalksClub/mlops-zoomcamp Analytics in Stock Markets - https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp LLM course - https://github.com/DataTalksClub/llm-zoomcamp Read about all our courses in one place - https://datatalks.club/blog/guide-to-free-online-courses-at-datatalks-club.html 👋🏼 GET IN TOUCH If you want to support our community, use this link - https://github.com/sponsors/alexeygrigorev If you're a company and want to support us, contact at alexey@datatalks.club

53 min
JUL 13

Building a Domestic Risk Assessment Tool - Sabina Firtala

Links: LinkedIn:https://www.linkedin.com/company/frontline100/ Ba Linh Le's LinkedIn: https://www.linkedin.com/in/ba-linh-le-/ Sabrina's LinkedIn: https://www.linkedin.com/in/sabina-firtala/ Twitter: https://x.com/frontline_100?mx=2 Website: https://www.frontline100.com/ Free LLM course: https://github.com/DataTalksClub/llm-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

50 min
JUL 6

Berlin Buzzwords 2024

We stream the podcasts on YouTube, where each session is also recorded and published on our channel, complete with timestamps, a transcript, and important links. You can access all the podcast episodes here - https://datatalks.club/podcast.html 📚Check our free online courses ML Engineering course - http://mlzoomcamp.com Data Engineering course - https://github.com/DataTalksClub/data-engineering-zoomcamp MLOps course - https://github.com/DataTalksClub/mlops-zoomcamp Analytics in Stock Markets - https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp LLM course - https://github.com/DataTalksClub/llm-zoomcamp Read about all our courses in one place - https://datatalks.club/blog/guide-to-free-online-courses-at-datatalks-club.html 👋🏼 GET IN TOUCH If you want to support our community, use this link - https://github.com/sponsors/alexeygrigorev If you’re a company, support us at alexey@datatalks.club

38 min
MAY 10

Community Building and Teaching in AI & Tech - Erum Afzal

We talked about: Erum's Background Omdena Academy and Erum’s Role There Omdena’s Community and Projects Course Development and Structure at Omdena Academy Student and Instructor Engagement Engagement and Motivation The Role of Teaching in Community Building The Importance of Communities for Career Building Advice for Aspiring Instructors and Freelancers DS and ML Talent Market Saturation Resources for Learning AI and Community Building Erum’s Resource Recommendations Links: LinkedIn: https://www.linkedin.com/in/erum-afzal-64827b24/ Twitter: https://twitter.com/Erum55449739 Free Data Engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

50 min
MAY 3

Working in Open Source - Probabl.ai and sklearn - Vincent Warmerdam

We talked about: Vincent’s Background SciKit Learn’s History and Company Formation Maintaining and Transitioning Open Source Projects Teaching and Learning Through Open Source Role of Developer Relations and Content Creation Teaching Through Calm Code and The Importance of Content Creation Current Projects and Future Plans for Calm Code Data Processing Tricks and The Importance of Innovation Learning the Fundamentals and Changing the Way You See a Problem Dev Rel and Core Dev in One Why :probabl. Needs a Dev Rel Exploration of Skrub and Advanced Data Processing Personal Insights on SciKit Learn and Industry Trends Vincent’s Upcoming Projects Links: probabl. YouTube channel: https://www.youtube.com/@UCIat2Cdg661wF5DQDWTQAmg Calmcode website: https://calmcode.io/ probabl. website: https://probabl.ai/ Free Data Engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

52 min
APR 26

AI for Ecology, Biodiversity, and Conservation - Tanya Berger-Wolf

Links: Biodiversity and Artificial Intelligence pdf: https://www.gpai.ai/projects/responsible-ai/environment/biodiversity-and-AI-opportunities-recommendations-for-action.pdf Free Data Engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

52 min

5

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DataTalks.Club - the place to talk about data!

Creator

DataTalks.Club
Years Active

2020 - 2024
Episodes

168
Rating

Explicit
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© DataTalks.Club
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