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
- Workshop – hands-on tutorials about technical topics
- 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
- Effective Domain-Driven Design for Machine Learning Products on 19 Apr 2023 by Larysa Visengeriyeva
- Machine Learning in Digital Identity on 02 May 2023 by Geo Jolly
- Open Source MLOps on Public Cloud on 02 May 2023 by Andreea Munteanu
Past events
- Building an Open-Source NLP Tool by Johannes Hötter (watch on youtube)
- Navigating Industrial Data Challenges by Rosona Eldred (watch on youtube)
- Fraud Detection with Graph Features and GNN by Nikita Iserson (watch on youtube)
- Mastering Self-Learning in Machine Learning by Aaisha Muhammad (watch on youtube)
- The Secret Sauce of Data Science Management by Shir Meir Lador (watch on youtube)
- SE4ML - Software Engineering for Machine Learning by Nadia Nahar (watch on youtube)
- Starting a Consultancy in the Data Space by Aleksander Kruszelnicki (watch on youtube)
- Biohacking for Data Scientists and ML Engineers by Ruslan Shchuchkin (watch on youtube)
- Maximizing Confidence in Your Data Model Changes with dbt and PipeRider by Dave Flynn (watch on youtube)
- GitOps for ML: Converting Notebooks to Reproducible Pipelines by Rob De Wit (watch on youtube)
- Analytics for a Better World by Parvathy Krishnan (watch on youtube)
- Accelerating the Adoption of AI through Diversity by Dânia Meira (watch on youtube)
- Staff AI Engineer by Tatiana Gabruseva (watch on youtube)
- Navigating Career Changes in Machine Learning by Krzysztof Szafanek (watch on youtube)
- The Journey of a Data Generalist: From Bioinformatics to Freelancing by Jekaterina Kokatjuhha (watch on youtube)
- Practical Learning-to-Rank: Deep, Fast, Precise by Roman Grebennikov (watch on youtube)
- Preparing for a Data Science Interview by Luke Whipps (watch on youtube)
- Indie Hacking by Pauline Clavelloux (watch on youtube)
- Doing Software Engineering in Academia by Johanna Bayer (watch on youtube)
- Bring Your Own Data by Alexey Grigorev (watch on youtube)
- Modern Data Pipelines in AdTech - Life in the Trenches by Roksolana Diachuk (watch on youtube)
- Observing Python Applications Using Prometheus by Jessica Greene, Vanessa Aguilar (watch on youtube)
- Data-Centric AI by Marysia Winkels (watch on youtube)
- Keeping Your Model In Production by Amber Roberts (watch on youtube)
- Business Skills for Data Professionals by Loris Marini (watch on youtube)
- Introduction to Bayesian Inference for Parameter Estimation by Prasoon Shukla (watch on youtube)
- From Software Engineer to Data Science Manager by Sadat Anwar (watch on youtube)
- Teaching and Mentoring in Data Analytics by Irina Brudaru (watch on youtube)
- Technical Writing and Data Journalism by Angelica Lo Duca (watch on youtube)
- From Digital Marketing to Analytics Engineering by Nikola Maksimovic (watch on youtube)
- Building an ML Service Platform from the Ground Up by Sean Sheng (watch on youtube)
- Product Owners in Data Science by Anna Hannemann (watch on youtube)
- Machine Learning Workflows in Production by Krzysztof Szafanek (watch on youtube)
- Building Data Science Practice by Andrey Shtylenko (watch on youtube)
- Large-Scale Entity Resolution by Sonal Goyal (watch on youtube)
- Data Monetization with Machine Learning by Tomek Jamiński (watch on youtube)
- From Data Science to DataOps by Tomasz Hinc (watch on youtube)
- Data Science Career Development by Katie Bauer (watch on youtube)
- A Practical Guide to A/B Testing in MLOps by Sadik Bakiu (watch on youtube)
- From Testing Phones to Managing NLP Projects by Alvaro Navas Peire (watch on youtube)
- Effective Machine Learning Inside Your Database by Patricio Cerda Mardini (watch on youtube)
- Responsible and Explainable AI by Supreet Kaur (watch on youtube)
- Building the Modern Geospatial Data Stack by Ramiro Aznar (watch on youtube)
- Data Incident Management with Soda and dbt by Bastien Boutonnet (watch on youtube)
- Probabilistic Demand Forecasting at Scale by Hagop Dippel (watch on youtube)
- Leading Data Research by David Bader (watch on youtube)
- Feature Selection in Machine Learning with Python by Soledad Galli (watch on youtube)
- Dataset Creation and Curation by Christiaan Swart (watch on youtube)
- Data Mesh 101 by Zhamak Dehghani (watch on youtube)
- Three Stages of Real-Time Data Monitoring by Sage Elliott (watch on youtube)
- Growing Data Engineering Team in a Scale-Up by Mehdi OUAZZA (watch on youtube)
- Lessons Learned About Data & AI at Enterprises by Alexander Hendorf (watch on youtube)
- Feature Engineering for Time Series Forecasting by Kishan Manani (watch on youtube)
- MLOps Architect by Danny Leybzon (watch on youtube)
- Decoding Data Science Job Descriptions by Tereza Iofciu (watch on youtube)
- Speeding up Python Code 500x by Jamie Broomall (watch on youtube)
- Data Science for Social Impact by Christine Cepelak (watch on youtube)
- Hiring Data Science Talent by Olga Ivina (watch on youtube)
- From Open-Source Maintainer to Founder by Will McGugan (watch on youtube)
- Best MLOps Practices for Building End-to-End ML Projects by Alex Kim (watch on youtube)
- Designing a Data Science Organization by Lisa Cohen (watch on youtube)
- Building the End to end Roadmap for your Data by Mary Jane Dykeman (watch on youtube)
- Developer Advocacy Engineer for Open-Source by Merve Noyan (watch on youtube)
- Data Scientists at Work by Mısra Turp (watch on youtube)
- Freelancing and Consulting with Data Engineering by Adrian Brudaru (watch on youtube)
- Getting a Data Engineering Job by Jeff Katz (watch on youtube)
- Using Data for Asteroid Mining by Daynan Crull (watch on youtube)
- Machine Learning in Marketing by Juan Orduz (watch on youtube)
- Recommender Systems for Digital Advertising by Nataliya Portman (watch on youtube)
- From Academia to Data Analytics and Engineering by Gloria Quiceno (watch on youtube)
- Mitigating Bias with the XAI Toolbox by Serg Masis (watch on youtube)
- Teaching Data Engineers by Jeff Katz (watch on youtube)
- Data Quality and Reliability with Soda Core by Vijay Kiran (watch on youtube)
- From Roasting Coffee to Backend Development by Jessica Greene (watch on youtube)
- Building Machine Learning Pipelines with Kedro by Merel Theisen (watch on youtube)
- Recruiting Data Engineers by Nicolas Rassam (watch on youtube)
- Federated Learning to the Rescue by Orlando Hohmeier, Jan Schlicht (watch on youtube)
- Storytime for DataOps by Christopher Bergh (watch on youtube)
- Analytics Use Cases Across Non-Automated Operations by Delina Ivanova (watch on youtube)
- Machine Learning and Personalization in Healthcare by Stefan Gudmundsson (watch on youtube)
- Hands-On Data Monitoring with whylogs by Danny Leybzon (watch on youtube)
- Innovation and Design for Machine Learning by Liesbeth Dingemans (watch on youtube)
- Modern Data Warehouse by Rahul Jain (watch on youtube)
- Hacking Your Data Career by Marijn Markus (watch on youtube)
- Productionizing a Feature Store for Fraud Detection at Ubisoft by Jeanine Harb (watch on youtube)
- Visualising Machine Learning by Meor Amer (watch on youtube)
- From Math Teacher to Analytics Engineer by Juan Pablo (watch on youtube)
- From Data Science to Data Engineering by Ellen König (watch on youtube)
- The Unspoken Relationship - Product Managers and Data Scientists by Sivan Biham (watch on youtube)
- Helping People Get Jobs with Data by Padma Chitturi (watch on youtube)
- Becoming a Data Engineering Manager by Rahul Jain (watch on youtube)
- Monitoring Model Performance with Crowdsourcing by Magdalena Konkiewicz (watch on youtube)
- A/B Testing by Jakob Graff (watch on youtube)
- Load Testing ML Microservices for Robustness and Scalability by Emmanuel Raj (watch on youtube)
- Machine Learning System Design Interview by Valerii Babushkin (watch on youtube)
- Career Coaching by Lindsay McQuade (watch on youtube)
- Product Management Essentials for Data Professionals by Greg Coquillo (watch on youtube, listen on anchor.fm)
- Software Testing for Machine Learning Pipelines by Arseny Kravchenko (watch on youtube)
- Recruiting Data Professionals by Alicja Notowska (watch on youtube, listen on anchor.fm)
- DataTalks.Club Behind the Scenes by Eugene Yan, Alexey Grigorev (watch on youtube, listen on anchor.fm)
- Fraud Detection in Financial Industry by Kate Ogochukwu Nwankwo (watch on youtube)
- Becoming a Data Science Manager by Mariano Semelman (watch on youtube, listen on anchor.fm)
- Leading NLP Teams by Ivan Bilan (watch on youtube, listen on anchor.fm)
- AI in Fashion - Size & Fit by Nour Karessli (watch on youtube)
- AI-Powered Computer Vision Applications in Media Industry by Yulia Pavlova (watch on youtube)
- Product Management for Machine Learning by Geo Jolly (watch on youtube, listen on anchor.fm)
- Hypothesis Testing: Bayesian or Frequentist? Two ways of looking at the same coin by Andre Schumacher (watch on youtube)
- Moving from Academia to Industry by CJ Jenkins (watch on youtube, listen on anchor.fm)
- Paradoxes in Data Science by Pier Paolo Ippolito (watch on youtube)
- Advancing Big Data Analytics: Post-Doctoral Research by Eleni Tzirita Zacharatou (watch on youtube, listen on anchor.fm)
- Notebooks in Production - Fun or not Fun? by Nick Bilozerov (watch on youtube)
- Becoming a Data Product Manager by Sara Menefee (watch on youtube, listen on anchor.fm)
- Back-of-the-Envelope Calculation For Machine Learning Projects by Larysa Visengeriyeva (watch on youtube)
- Introduction to NLP for Industry Use by Ivan Bilan (watch on youtube)
- Data Science Manager vs Data Science Expert by Barbara Sobkowiak (watch on youtube, listen on anchor.fm)
- Algorithmic Fairness by Gráinne McKnight (watch on youtube)
- Ace Non-Technical Data Science Interviews by Nick Singh (watch on youtube, listen on anchor.fm)
- The War of Gradient Boosted Trees by Naomi Nguyen (watch on youtube)
- Becoming a Solopreneur in Data by Noah Gift (watch on youtube, listen on anchor.fm)
- Building Business Acumen for Data Professionals by Thom Ives (watch on youtube, listen on anchor.fm)
- PyTorch Contributor's Guide: How and Why? by Emil Bogomolov (watch on youtube)
- Conquering the Last Mile in Data by Caitlin Moorman (watch on youtube, listen on anchor.fm)
- Similarities and Differences between ML and Analytics by Rishabh Bhargava (watch on youtube, listen on anchor.fm)
- Building an Open-Source Feature Store with Apache Flink by Roman Grebennikov (watch on youtube)
- Building and Leading Data Teams by Tammy Liang (watch on youtube, listen on anchor.fm)
- Introduction to Transformers for NLP by Olga Petrova (watch on youtube)
- What Researchers and Engineers Can Learn from Each Other by Mihail Eric (watch on youtube, listen on anchor.fm)
- Doing Good with Data by Marijn Markus (watch on youtube)
- Modern Data Stack for Analytics Engineering by Kyle Shannon (watch on youtube)
- Introducing Data Science in Startups by Marianna Diachuk (watch on youtube, listen on anchor.fm)
- Machine Learning Observability by Aparna Dhinakaran (watch on youtube)
- Defining Success: Metrics and KPIs by Adam Sroka (watch on youtube, listen on anchor.fm)
- 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)
- 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)