Join Switzerland's
largest Machine Learning hackathon!
Are you ready to take on a challenging Machine Learning problem? Join 150 students at this year's edition of the Analytics Club Datathon, running from May 5th to 7th. This is a great opportunity to network with like-minded individuals while sharpening your skills. Don't miss out on the chance to be a part of this exciting event!
Challenge Sponsors
We're gearing up for an exciting Datathon, and we want to make sure that all teams have an equal chance to succeed. To keep things fair, we'll be announcing the challenges shortly before the start of the event. But don't worry, we will still give you a hint by sharing who our challenge sponsors are! And here's even better news: the winning teams will receive a total funding of CHF 10000! So start assembling your team and get ready to tackle some exciting data challenges!
AWS
Amazon Web Services (AWS), launched in 2006, offers a reliable, low-cost, and scalable cloud infrastructure platform to businesses globally. With data centers worldwide, AWS delivers secure, flexible, and open services to industries of all sizes.
Learn more!
Alpiq
Alpiq is a leading Swiss electricity producer and energy services provider that is active throughout Europe. They have been generating climate-friendly and sustainable electricity from carbon-free Swiss hydropower for more than 100 years.
Learn more!
D ONE
D ONE is a data-driven value creation consultancy that offers corporate transformation services to help clients become information enterprises. With hands-on practitioners and academic expertise, they enable success in an easy-to-do-business-with manner, earning positive client recommendations.
Learn more!
Huawei
Huawei, a top provider of ICT infrastructure and smart devices globally, is dedicated to bringing digital connectivity to every individual, household, and organization. Their solutions span telecom networks, IT, smart devices, and cloud services across the globe.
Learn more!Challenges from 2022
Last year's hackathon featured a diverse range of challenges that challenged participants to develop innovative solutions to real-world problems.
Challenge 1: D ONE
Challenge 1 was presented by WinJi, a Zurich-based startup that offers a performance monitoring platform for wind and solar parks. The challenge involved developing a machine learning model that could automatically detect turbine malfunctions and other critical information from continuous time-series data. Participants had the opportunity to work with real-time data and develop creative, out-of-the-box solutions to this complex problem.
Challenge 2: Microsoft
Challenge 2 focused on healthcare data and the development of improved text analytics for multilingual medical information. The goal was to create a solution that could reliably extract and summarize medical information across different languages, using a combination of existing models and APIs. Participants had access to a variety of tools and resources, including GPT-3, Azure Text Analytics, and SciSpacy/SpaCy.
Challenge 3: AWS
Challenge 3 involved using machine learning to improve the service for Amazon Fulfillment Center. Participants were given access to AWS Machine Learning Platform (Amazon SageMaker) to train and test their models for object detection based on the Amazon Bin Image Dataset. Participants also received coaching from AWS experts to develop the most effective solutions.
Challenge 4: SAA
Challenge 4 was presented by the Swiss Association of Actuaries (SAA) and focused on improving the customer experience of finding information on travel insurance coverage. Participants used Natural Language Processing (NLP) techniques to develop a Q&A bot that could enhance the ability of insurers to deliver the right answers to their customers. The challenge provided participants with a real-world FAQ dataset and the latest Amazon Web Services (AWS) tools to create a more transparent and convenient travel planning experience.
These challenges provided an opportunity for participants to showcase their technical skills and creativity while tackling some of the biggest challenges facing industries today. The hackathon was a great success, and we look forward to seeing the innovative solutions that this year's participants will develop.
Schedule
Friday 05 May
16:00 - 19:00
Workshops @ETH HG
19:00 - 20:00
Opening Apero
Saturday 06 May
09:00
Arrival at Trust Square
10:00
Reveal and presentation of challenges
11:00
Breakfast with all teams and partners
12:00
START HACKING
15:00
Lunch
20:00
Dinner
Sunday 07 May
08:00
Breakfast
13:00
Code Submission
16:00
Presentations
18:00
Apero
Trust Square
We are thrilled to be hosting this year's datathon at TrustSquare Paradeplatz, a leading technology hub in Switzerland, located in the heart of Zurich's financial district. The event is a unique opportunity for participants to engage in a collaborative, data-driven problem-solving challenges. We warmly welcome you to the Datathon 2023 at TrustSquare!
Apply until April 21st
The Analytics Club is pleased to announce its upcoming Datathon taking place from May 5th to 7th. The Datathon is open to anyone interested in data analytics and machine learning, and you can apply either individually or with a team. If you register individually, you will be assigned to a team and you will work together on the challenge of your preference.
There will be different challenges to choose from, each with its unique data set and problem statement. The Datathon provides you with an excellent opportunity to apply your data analysis and machine learning skills to solve real-world problems. You also have the opportunity to meet other data science enthusiasts and experts in the field.We take care of the food so that you can focus on the challenges without worrying about anything else. You are also welcome to stay at the event venue, TrustSquare, for the entire Datathon.
Food will be provided, so you can focus on solving the challenges without worrying about anything else. This will also give you the chance to network with other participants and experts in the field. Overall, this Datathon is a fantastic opportunity to apply your data analytics and machine learning skills, learn from other participants, and network with experts in the field.
So, whether you're an experienced data analyst or just getting started, don't miss this exciting event. Apply today and get ready to tackle some real-world challenges!
Our Sponsors
Frequently Asked Questions
The Data Days will take place on-site.
Opening ceremony and workshops before Datathon on Friday, May 5 will take place at ETH HG.
Datathon, on Lay will take place at Trust Square Paradeplatz.
There are no fees to participate.
The hackathon is open to all ETH and UZH students. Places are distributed on a first-come-first-serve basis. The overall participation number is capped at 150 participants to ensure a positive overall experience for all involved parties.
If you have a team of friends, you can register together with at least one other person and work in team sizes of 3 or 4. If you are alone, we will match you with the team.
Due to the technical nature of the challenge, basic coding skills and familiarity with machine learning would be recommended to ensure a positive experience. However, there are no formal requirements.