DataTalks.Club

DataTalks.Club
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DataTalks.Club

DataTalks.Club - the place to talk about data!

  1. 11月8日

    MLOps as a Team - Raphaël Hoogvliets

    We talked about: 00:00 DataTalks.Club intro 02:34 Career journey and transition into MLOps 08:41 Dutch agriculture and its challenges 10:36 The concept of "technical debt" in MLOps 13:37 Trade-offs in MLOps: moving fast vs. doing things right 14:05 Building teams and the role of coordination in MLOps 16:58 Key roles in an MLOps team: evangelists and tech translators 23:01 Role of the MLOps team in an organization 25:19 How MLOps teams assist product teams 27 :56 Standardizing practices in MLOps 32:46 Getting feedback and creating buy-in from data scientists 36:55 The importance of addressing pain points in MLOps 39:06 Best practices and tools for standardizing MLOps processes 42:31 Value of data versioning and reproducibility 44:22 When to start thinking about data versioning 45:10 Importance of data science experience for MLOps 46:06 Skill mix needed in MLOps teams 47:33 Building a diverse MLOps team 48:18 Best practices for implementing MLOps in new teams 49:52 Starting with CI/CD in MLOps 51:21 Key components for a complete MLOps setup 53:08 Role of package registries in MLOps 54:12 Using Docker vs. packages in MLOps 57:56 Examples of MLOps success and failure stories 1:00:54 What MLOps is in simple terms 1:01:58 The complexity of achieving easy deployment, monitoring, and maintenance Join our Slack: https://datatalks .club/slack.html

    56 分鐘

  2. 11月1日

    Using Data to Create Liveable Cities - Rachel Lim

    We talked about: 00:00 DataTalks.Club intro 01:56 Using data to create livable cities 02:52 Rachel's career journey: from geography to urban data science 04:20 What does a transport scientist do? 05:34 Short-term and long-term transportation planning 06:14 Data sources for transportation planning in Singapore 08:38 Rachel's motivation for combining geography and data science 10:19 Urban design and its connection to geography 13:12 Defining a livable city 15:30 Livability of Singapore and urban planning 18:24 Role of data science in urban and transportation planning 20:31 Predicting travel patterns for future transportation needs 22:02 Data collection and processing in transportation systems 24:02 Use of real-time data for traffic management 27:06 Incorporating generative AI into data engineering 30:09 Data analysis for transportation policies 33:19 Technologies used in text-to-SQL projects 36:12 Handling large datasets and transportation data in Singapore 42:17 Generative AI applications beyond text-to-SQL 45:26 Publishing public data and maintaining privacy 45:52 Recommended datasets and projects for data engineering beginners 49:16 Recommended resources for learning urban data science About the speaker: Rachel is an urban data scientist dedicated to creating liveable cities through the innovative use of data. With a background in geography, and a masters in urban data science, she blends qualitative and quantitative analysis to tackle urban challenges. Her aim is to integrate data driven techniques with urban design to foster sustainable and equitable urban environments.  Links: - https://datamall.lta.gov.sg/content/datamall/en/dynamic-data.html 00:00 DataTalks.Club intro 01:56 Using data to create livable cities 02:52 Rachel's career journey: from geography to urban data science 04:20 What does a transport scientist do? 05:34 Short-term and long-term transportation planning 06:14 Data sources for transportation planning in Singapore 08:38 Rachel's motivation for combining geography and data science 10:19 Urban design and its connection to geography 13:12 Defining a livable city 15:30 Livability of Singapore and urban planning 18:24 Role of data science in urban and transportation planning 20:31 Predicting travel patterns for future transportation needs 22:02 Data collection and processing in transportation systems 24:02 Use of real-time data for traffic management 27:06 Incorporating generative AI into data engineering 30:09 Data analysis for transportation policies 33:19 Technologies used in text-to-SQL projects 36:12 Handling large datasets and transportation data in Singapore 42:17 Generative AI applications beyond text-to-SQL 45:26 Publishing public data and maintaining privacy 45:52 Recommended datasets and projects for data engineering beginners 49:16 Recommended resources for learning urban data science Join our slack: https: //datatalks.club/slack.html

    46 分鐘

  3. 10月26日

    DataTalks.Club 4th Anniversary AMA Podcast – Alexey Grigorev and Johanna Bayer

    We talked about: 00:00 DataTalks.Club intro 00:00 DataTalks.Club anniversary "Ask Me Anything" event with Alexey Grigorev 02:29 The founding of DataTalks .Club 03:52 Alexey's transition from Java work to DataTalks.Club 04:58 Growth and success of DataTalks.Club courses 12:04 Motivation behind creating a free-to-learn community 24:03 Staying updated in data science through pet projects 26 :37 Hosting a second podcast and maintaining programming skills 28:56 Skepticism about LLMs and their relevance 31:53 Transitioning to DataTalks.Club and personal reflections 33:32 Memorable moments and the first event's success 36:19 Community building during the pandemic 38:31 AI's impact on data analysts and future roles 42:24 Discussion on AI in healthcare 44:37 Age and reflections on personal milestones 47:54 Building communities and personal connections 49:34 Future goals for the community and courses 51:18 Community involvement and engagement strategies 53:46 Ideas for competitions and hackathons 54:20 Inviting guests to the podcast 55:29 Course updates and future workshops 56:27 Podcast preparation and research process 58:30 Career opportunities in data science and transitioning fields 1:01 :10 Book recommendations and personal reading experiences About the speaker: Alexey Grigorev is the founder of DataTalks.Club. Join our slack: https://datatalks.club/slack.html

    54 分鐘

  4. 10月10日

    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 分鐘

  5. 8月15日

    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 分鐘

  6. 7月26日

    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 分鐘

  7. 7月13日

    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 分鐘

  8. 7月6日

    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 分鐘
顯示全部 (171)

評分與評論

5
（滿分 5 顆星）
7 則評分

簡介

DataTalks.Club - the place to talk about data!

資訊

  • 創作者
    DataTalks.Club
  • 活躍年代
    2020年 - 2024年
  • 集數
    171
  • 年齡分級
    兒少不宜
  • 版權
    © DataTalks.Club
  • 節目網站
    DataTalks.Club

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