DataTalksClub

Want to talk about data? Data science, career questions, practical machine learning, and more? Join DataTalksClub https://datatalks.club/ 🔽 #data #datascience #machinelearning #career #community #events

Have you been tuning in to our live podcast series? Don't miss our next episode on December 04, 2024, as we chat with Agita Jaunzeme🌻 about Career choices, transitions, and promotions in and out of tech. We can't wait to hear their insights! In this podcast, she will cover the following: ✨ Agita's non-traditional tech career ✨ Data/Devops and Psychology ✨ Career Alignment Register here: https://lu.ma/94n3u7yb

In this week's episode of Open-Source Spotlight, we are joined by Deepyaman Datta to showcase the Kedro Project, as part of our series exploring innovative open-source tools. Deepyaman, a software engineer, introduces Kedro, a phyton-based data pipelining framework integrating software engineering into data science and machine learning projects. We covered: ✨ Introducing Deepyaman's involvement with the Kedro project ✨ Creating, Running, and Visualizing a project with Kedro ✨ Nodes and Pipelines ✨ Explaining the Kedro Data Catalog ✨ The Ibis Integration ✨ Primary Advantages of Kedro ✨ A comparison of Kedro to other pipelines ✨ Introducing the Kedro Team ✨ How to contribute to Kedro Watch the demo here: https://lnkd.in/dwkr_PM4

Ready to level up your data skills? Sign up for our upcoming workshop on Economics and Automation Workshop: Building a Data Pipeline for Economic Insights with Ivan Brigida and learn by doing! In this workshop, he will cover the following: ✨ Building a data pipeline for economic analysis, focused on automated data collection and storage ✨API data retrieval, database setup, data workflows, and deploying a containerized project ✨Examining real economic data (i.e., interest rates, debt-to-GDP ratios, and stock trends) ✨Connecting these technical skills to practical insights into current economic conditions. Register here: https://lu.ma/kwlnw4jo

Don't miss our next live podcast episode! We're excited to have Isabella Bicalho Frazeto join us to discuss Career advice, learning, and featuring women in ML and AI. Tune in on November 22, 2024, to learn more about their experience and insights. In this podcast, she will cover the following: ✨ Career path and early career advice ✨ Continuous learning and freelancing ✨ Women in data - a substack Register here: https://lu.ma/wv1rajku

Want to learn from the best? Join our live free webinar on Applied Causal Inference with Irina Ioana Brudaru. Our webinars are the perfect opportunity to dive deep into technical topics and take your data skills to the next level. Register now! In this webinar, she will cover the following: ✨ When and how to apply causal inference as a marketing measurement method ✨ Examples and applications Outline: ✨ Data and Demo on the Infer (low code) platform, output and interpretation Register here: https://lu.ma/4lzktvbz

Mark your calendars! Our next live podcast episode is happening on December 10, 2024. We'll be joined by Tamara Atanasoska, who will share their insights on Linguistics and Fairness. Join us for an informative and engaging conversation! In this podcast, she will cover the following: Building fair AI systems ✨ Linguistics and Language in Technology ✨ Fairness in AI Systems ✨ Fairlearn Register here: https://lu.ma/1ggund44

Join us this November 25, 2024, to learn about Applied Causal Inference with Irina Ioana Brudaru! She will cover: ✨ When and how to apply causal inference as a marketing measurement method. ✨ Examples and applications.  ✨ Data and Demo on the Infer (low code) platform, output, and interpretation. Register here: https://lu.ma/4lzktvbz

Join us this December 2nd to learn about Economics and Automation Workshop: Building a Data Pipeline for Economic Insights with Ivan Brigida. He will cover: ✨ Building a data pipeline for economic analysis, focused on automated data collection and storage ✨API data retrieval, database setup, data workflows, and deploying a containerized project ✨Examining real economic data (i.e., interest rates, debt-to-GDP ratios, and stock trends) ✨Connecting these technical skills to practical insights into current economic conditions. Register here: https://lu.ma/kwlnw4jo

Looking forward to appearing on the DataTalksClub podcast with Alexey Grigorev today! We'll talk about: - Career journeys into data science and MLOps - Building succesful teams in tech - MLOps itself, of course Join us on Wednesday October 23rd at 12:30 CET. You can register through the link below. Hope to see you there! #machinelearning #datascience #devops