About us
Let's meet every other week or so to work on ML problems and get really good fast! Machine Learning involves many disciplines (Calculus, Probability, Linear Algebra, Coding, Mining, Deployment, Data Vis) and some of them lend themselves well for group study. It's not about discussing AI papers.
Although I love the beauty of mathematical proofs and their intricacies... I want to focus on cementing insights with code.
That means working with data and getting results (predicitve models). The goal here is to become solid at doing and eventually deploying. (pair-coding and peer-testing might be a good option let's see)
If you're game you should have at least completed 1+ ML course, implemented some algorithms or have experience with one of the disciplines above so you can contribute to the group. (~~ beginner/intermediate skill level)
We will use Python.
Hope to see you soon,
Markus
Good Resources – all you need is Jeremy Howard (and Love):
Fast.ai (ML for coders) is by orders of magnitude!! better and more up to date than anything else. Jeremy Howard is the most practical and legit guy in the field. He was Chief Scientist at Kaggle, founded a few other startups and is a great teacher.
This one just came out in September 2018: http://www.fast.ai/2018/09/26/ml-launch/ and it is amazing. Or do the Deep Learning 2018 course for images and so on.
Refresher / Lookup on python / pandas
https://github.com/jakevdp/PythonDataScienc...
Only use as reference, not as homework.
Meh/Solala Resources
for Mobile or Ubahn boredom: Brilliant.org (math, lin alg and ML quizzes) – most paid quizzes are sh%t, but 1/3 are well done.
Bad Resources. DON'T WASTE YOUR TIME THERE:
BAD: datacamp.com ('Interactive copy paste with 100% irrelevance to any real world problem taught by people after at least one stroke')
BAD: Andrew Ng's Coursera course. Dated, pedagogically inferior and not pragmatic. You'll finish it and won't be able to do anything after...
Featured event
AI Lab: Open Source Data with Aiven and Google
Important: Register on the AICamp event website is required for admission.
Join Aiven and Google Cloud for a hands-on lab to learn building data infrastructure for AI applications in production, and how to run OpenSearch in production for AI and GenAI workloads.
This interactive, instructor-led workshop is designed for developers and data engineers who want to build and run real-world data pipelines using open source tools.
Note: Bring your laptop, we’ll be shipping code together.
Agenda:
* 5:00pm~5:30pm: Check-in, Food, Networking
* 5:30pm~7:30pm: Tech talks and Hands-on Workshop
* 7:30pm~8:00pm: Q&A, wrap-up
⚡️ Workshop 1 — Foundations: Build Your Own Pipeline
Start from scratch and assemble a complete data pipeline using Aiven services.
- Provision and manage services
-Connect systems into a unified pipeline
- Build an observability setup
- Query real-time data across services using SQL
⚡️ Workshop 2 — Advanced: Real-Time Retail Streaming Pipeline
Go deeper with a real, production-inspired use case.
- Design and implement a high-quality streaming pipeline
- Work with real-time retail data flows
- Apply best practices for scalability and reliability
What you’ll learn:
- Deploy and scale OpenSearch for production
- Best practices for vector and hybrid search
- Build efficient real-time data pipelines
- Design and optimize RAG architectures
Why attend?
- Build a production-style data pipeline
- Learn how to connect Kafka, ClickHouse, OpenSearch, and PostgreSQL into a working, real-time architecture.
- Learn by doing and Apply proven patterns
- Provision services, stream data, and run queries yourself using both UI and CLI workflows.
- Walk away with practical approaches you can reuse for streaming, analytics, and observability use cases.
Who Should Attend:
Developer and data engineer, interested in moving from prototype to production with OpenSearch.
Upcoming events
2
AI builders lab with Nebius Anyscale Tavily
Impact Hub Berlin, Rollbergstraße 28A, 12053 Berlin, Berlin, DEImportant: Register on the AICamp event website is required for admission.
Join Nebius, Anyscale and Tavily for deep dives into deploying, scaling, and operating AI systems in production.
Nebius.Build/BER brings together engineers from Nebius and partners including Anyscale and Tavily, with sessions covering distributed training, running open source models in production, and scaling workloads across large GPU clusters. The program includes a mix of technical talks, partner sessions, and a hands-on workshop, where you can deploy your own model and connect it to a working inference pipeline.
Why Attend:
✔ Learn from engineers running production systems on inference scaling, latency optimization, reliability
✔ Hear real architecture breakdowns and implementation details from teams deploying AI at scale
✔ Go deep on infrastructure and performance
✔ Hands-on technical sessions focused on real deployment scenariosAgenda:
* 12:00pm~1:00pm: Check-in and Lunch
* 1:00pm~2:30pm: Tech talks and Q&A
* 2:30pm~3:00pm: Coffee break
* 3:00pm~4:00pm: Hands-on labs
* 4:00pm~4:30pm: Wrap up and closing remarks
* 4:30pm: Happy hourWho Should Attend:
- ML infrastructure engineers
- AI / ML platform engineers
- Principal engineers and architects
- Technical startup founders and CTOs
- Developers building or scaling AI systems
1 attendeeAI Lab: Open Source Data with Aiven and Google
Techspace Eiswerk, Techspace Eiswerk, 40-41 Köpenicker Straße, 10179 Berlin, Berlin, DEImportant: Register on the AICamp event website is required for admission.
Join Aiven and Google Cloud for a hands-on lab to learn building data infrastructure for AI applications in production, and how to run OpenSearch in production for AI and GenAI workloads.
This interactive, instructor-led workshop is designed for developers and data engineers who want to build and run real-world data pipelines using open source tools.
Note: Bring your laptop, we’ll be shipping code together.Agenda:
* 5:00pm~5:30pm: Check-in, Food, Networking
* 5:30pm~7:30pm: Tech talks and Hands-on Workshop
* 7:30pm~8:00pm: Q&A, wrap-up
⚡️ Workshop 1 — Foundations: Build Your Own Pipeline
Start from scratch and assemble a complete data pipeline using Aiven services.
- Provision and manage services
-Connect systems into a unified pipeline
- Build an observability setup
- Query real-time data across services using SQL
⚡️ Workshop 2 — Advanced: Real-Time Retail Streaming Pipeline
Go deeper with a real, production-inspired use case.
- Design and implement a high-quality streaming pipeline
- Work with real-time retail data flows
- Apply best practices for scalability and reliabilityWhat you’ll learn:
- Deploy and scale OpenSearch for production
- Best practices for vector and hybrid search
- Build efficient real-time data pipelines
- Design and optimize RAG architectures
Why attend?
- Build a production-style data pipeline
- Learn how to connect Kafka, ClickHouse, OpenSearch, and PostgreSQL into a working, real-time architecture.
- Learn by doing and Apply proven patterns
- Provision services, stream data, and run queries yourself using both UI and CLI workflows.
- Walk away with practical approaches you can reuse for streaming, analytics, and observability use cases.
Who Should Attend:
Developer and data engineer, interested in moving from prototype to production with OpenSearch.1 attendee
Past events
11
Group links
Members
1,118
