Events
We host multiple types of events:
- Webinars – events on Tuesday, with slides, mostly technical
- Live podcasts – events on Friday, a discussion without slides, the recording is published as a podcast
- Conference – bigger events with multipe talks, both webinar-type talks and podcast-type talks
📅 Pro tip: you can also subscribe to our Google calendar to get notified about all our events (subscribing works from desktop only).
Upcoming events
- Similarities and Differences between ML and Analytics on 16 Sep 2021 by Rishabh Bhargava
- Doing Good with Data on 21 Sep 2021 by Marijn Markus
- What Researchers and Engineers Can Learn from Each Other on 24 Sep 2021 by Mihail Eric
- Introduction to Transformers for NLP on 28 Sep 2021 by Olga Petrova
- Building an Open-Source Feature Store with Apache Flink on 05 Oct 2021 by Roman Grebennikov
- PyTorch Contributor's Guide: How and Why? on 12 Oct 2021 by Emil Bogomolov
- Back-of-the-Envelope Calculation For Machine Learning Projects on 19 Oct 2021 by Larysa Visengeriyeva
Past events
- Modern Data Stack for Analytics Engineering by Kyle Shannon (watch on youtube)
- Introducing Data Science in Startups by Marianna Diachuk (watch on youtube)
- Machine Learning Observability by Aparna Dhinakaran (watch on youtube)
- Defining Success: Metrics and KPIs by Adam Sroka (watch on youtube)
- Getting Started with Network Analytics in Python by Eric Sims (watch on youtube)
- Making Sense of Data Engineering Acronyms and Buzzwords by Natalie Kwong (watch on youtube, listen on anchor.fm)
- Make Your First ML Chatbot by Rachael Tatman (watch on youtube)
- Mastering Algorithms and Data Structures by Marcello La Rocca (watch on youtube, listen on anchor.fm)
- Building Streaming Analytics: The Journey and Learnings by Maxim Lukichev (watch on youtube)
- Chief Data Officer by Marco De Sa (watch on youtube, listen on anchor.fm)
- Freelancing in Machine Learning by Mikio Braun (watch on youtube, listen on anchor.fm)
- Orchestrating Enterprise ML Workload Jobs Across Clouds by Srivathsan Canchi, Alex Chung (watch on youtube)
- Launching a Startup: From Idea to First Hire by Carmine Paolino (watch on youtube, listen on anchor.fm)
- Unboxing Design Docs for Data Scientists by Vincent Tatan (watch on youtube)
- Modeling the Human Brain by Jessie Yaros (watch on youtube)
- The Importance of Data Quality by Fabiana Clemente (watch on youtube)
- Why Your Search Relevance Project Will Fail by Doug Turnbull (watch on youtube)
- Humans in the Loop by Lina Weichbrodt (watch on youtube, listen on anchor.fm)
- Running from Complexity by Ben Wilson (watch on youtube, listen on anchor.fm)
- Setting Up AI Projects for Success by Jan Zawadzki (watch on youtube)
- DataTalks.Club Summer Marathon: Machine Learning in Production by Jan Zawadzki, Ben Wilson, Lina Weichbrodt, Doug Turnbull, Fabiana Clemente (watch on youtube)
- I Want to Build a Machine Learning Startup! by Elena Samuylova (watch on youtube, listen on anchor.fm)
- Big Data Engineer vs Data Scientist by Roksolana Diachuk (watch on youtube, listen on anchor.fm)
- Build Your Own Data Pipeline by Andreas Kretz (watch on youtube, listen on anchor.fm)
- From Software Engineering to Machine Learning by Santiago Valdarrama (watch on youtube, listen on anchor.fm)
- DataTalks.Club Summer Marathon: Career in Data by Santiago Valdarrama, Daliana Liu, Andreas Kretz, Roksolana Diachuk, Elena Samuylova (watch on youtube)
- Analytics Engineer: New Role in a Data Team by Victoria Perez Mola (watch on youtube, listen on anchor.fm)
- Ingestion and Historization in the Data Lake by Illia Todor (watch on youtube)
- Data Governance by Jessi Ashdown, Uri Gilad (watch on youtube, listen on anchor.fm)
- Conversational AI by Merve Noyan (watch on youtube)
- What Data Scientists Don’t Mention in Their LinkedIn Profiles by Yury Kashnitsky (watch on youtube, listen on anchor.fm)
- Productionizing ML Systems without Fear nor Heroism by Nastasia Saby (watch on youtube)
- Becoming a Data-led Professional by Arpit Choudhury (watch on youtube, listen on anchor.fm)
- A Framework for Feature Engineering and Machine Learning Pipelines by Jacques Peeters (watch on youtube)
- How to Market Yourself (without Being a Celebrity) by Shawn Swyx Wang (watch on youtube, listen on anchor.fm)
- Hands-on AI Observability by Andy Petrella (watch on youtube)
- From Physics to Machine Learning by Tatiana Gabruseva (watch on youtube, listen on anchor.fm)
- Setting up an A/B Testing Framework by Agnes van Belle (watch on youtube)
- What I Learned After Interviewing 300 Data Scientists by Oleg Novikov (watch on youtube, listen on anchor.fm)
- Reinforcement Learning for Search by Roman Grebennikov (watch on youtube)
- Effective Communication with Business for Data Professionals by Lior Barak (watch on youtube, listen on anchor.fm)
- Evaluation Store: a New Category of ML Engineering Tools by Josh Tobin (watch on youtube)
- Data Observability: The Next Frontier of Data Engineering by Barr Moses (watch on youtube, listen on anchor.fm)
- Data Mesh in Practice by Max Schultze (watch on youtube)
- Shifting Career from Analytics to Data Science by Andrada Olteanu (watch on youtube, listen on anchor.fm)
- Data Science for Social Good by Filipa Castro, Agnieszka Mikołajczyk (watch on youtube)
- Transitioning from Project Management to Data Science by Ksenia Legostay (watch on youtube, listen on anchor.fm)
- Deep Learning Recommender Systems by Cristian Martinez, Ilia Ivanov (watch on youtube)
- Building and Growing Online Communities by Demetrios Brinkmann (watch on youtube, listen on anchor.fm)
- Bodywork: GitOps for Machine Learning by Alex Ioannides (watch on youtube)
- DataOps 101 by Lars Albertsson (watch on youtube, listen on anchor.fm)
- Active and Self-Supervised Learning for Data Selection by Igor Susmelj (watch on youtube)
- The Essentials of Public Speaking for Career in Data Science by Ben Taylor (watch on youtube, listen on anchor.fm)
- Building Scalable End-to-End Deep Learning Pipelines in the Cloud by Rustem Feyzkhanov (watch on youtube)
- Continuous Integration for Machine Learning by Elle O'Brien (watch on youtube)
- Machine Learning Design Patterns by Sara Robinson (watch on youtube)
- Putting Data Science in Production by Mikio Braun (watch on youtube)
- 10 Foundational Practices of Machine Learning Engineering by Larysa Visengeriyeva (watch on youtube)
- DataTalks.Club Conference: ML in Production by Larysa Visengeriyeva, Mikio Braun, Sara Robinson, Elle O'Brien (watch on youtube)
- New Roles and Key Skills to Monetize Machine Learning by Vin Vashishta (watch on youtube, listen on anchor.fm)
- Career Transitioning into Data Science by Parul Pandey (watch on youtube)
- Personal Branding by Admond Lee Kin Lim (watch on youtube, listen on anchor.fm)
- The ABC’s of Data Science by Danny Ma (watch on youtube, listen on anchor.fm)
- DataTalks.Club Conference: Career in Data by Danny Ma, Admond Lee Kin Lim, Parul Pandey, Vin Vashishta (watch on youtube)
- Translating ML Predictions Into Better Real-World Results with Decision Optimization by Dan Becker (watch on youtube, listen on anchor.fm)
- How Your Machine Learning Project Will Fail by Elena Samuylova (watch on youtube)
- Dangers of Dirty Data by Susan Walsh (watch on youtube)
- Building Data-Intensive Teams by Elias Nema (watch on youtube)
- DataTalks.Club Conference: Product and Process by Elias Nema, Susan Walsh, Elena Samuylova, Dan Becker (watch on youtube)
- Building an ML System for Southeast Asia’s Largest Hospital Group by Eugene Yan (watch on youtube)
- Build Your AI Machine Vision System by Yourself by Mahmoud AbdelAziz (watch on youtube)
- How to use AI in Consumer Food Product Innovation by Himanshu Upreti (watch on youtube)
- Industrial Applications of Reinforcement Learning by Phil Winder (watch on youtube)
- DataTalks.Club Conference: ML Use Cases by Phil Winder, Himanshu Upreti, Mahmoud AbdelAziz, Eugene Yan (watch on youtube)
- Feature Stores: Cutting through the Hype by Willem Pienaar (watch on youtube, listen on anchor.fm)
- The Rise of MLOps by Theofilos Papapanagiotou (watch on youtube, listen on anchor.fm)
- Getting Started with Open Source by Vincent Warmerdam (watch on youtube, listen on anchor.fm)
- Using Machine Learning for Customer Service by Neal Lathia (watch on youtube)
- Developer Advocacy for Data Science by Elle O'Brien (watch on youtube, listen on anchor.fm)
- Machine Learning Performance Monitoring by Emeli Dral (watch on youtube)
- The Importance of Writing in a Tech Career by Eugene Yan (watch on youtube, listen on anchor.fm)
- Data Versioning Explained by Itai Admi (watch on youtube)
- Mentoring by Rahul Jain (watch on youtube, listen on anchor.fm)
- AWS Glue DataBrew by Dmitry Muzalevskiy (watch on youtube)
- Standing out as a Data Scientist by Luke Whipps (watch on youtube, listen on anchor.fm)
- Deploying Serverless Machine Learning with AWS by Sejal Vaidya (watch on youtube)
- Building a Data Science Team by Dat Tran (watch on youtube, listen on anchor.fm)
- Processes in a Data Science Project by Alexey Grigorev (watch on youtube, listen on anchor.fm)
- Essential Communication Skills for Data Professionals by David Gates (watch on youtube)
- Fighting Fraud with Triplet Loss by Artemii Frolov (watch on youtube)
- Roles in a Data Team by Alexey Grigorev (watch on youtube, listen on anchor.fm)
- Customer Segmentation 2.0 by Nishant Mohan (watch on youtube)
- Deploying models with AWS Sagemaker by Dmitry Muzalevskiy (watch on youtube)