Data science / Machine Learning is an ever-evolving field, and competitions provide a great way for beginners / practitioners to hone their skills, solve real-world problems, enhance their resumes / CVs and even earn rewards. Here’s a roundup of some notable machine learning / data science / AI competition platforms, each offering unique opportunities.
- Kaggle: One of the most popular data science competition platforms globally, Kaggle offers a wide range of challenges, datasets, and a vibrant community. Visit Kaggle.
- Numerai: This unique platform combines AI and finance in a crowdsourced hedge fund format. Participants predict on obfuscated financial data and earn Numeraire, the platform’s cryptocurrency. Explore Numerai.
- DrivenData: A platform focusing on social challenges, DrivenData partners with organizations to address global issues using data science. It has hosted noteworthy competitions, including a collaboration with Facebook on models against hate speech and misinformation. Visit DrivenData.
- CrowdANALYTIX: Although less active now, CrowdANALYTIX has a history of hosting challenging competitions. The community blog offers insights into past and potential challenges. Check out CrowdANALYTIX.
- Signate: Japan’s prominent data science competition platform, Signate offers a variety of contests with a ranking system similar to Kaggle. Learn more about Signate.
- Zindi: Dedicated to solving Africa’s pressing issues, Zindi hosts competitions in social, economic, and environmental domains. Visit Zindi.
- Alibaba Cloud: Hosting the Tianchi Academic competitions, Alibaba Cloud offers challenges in cutting-edge AI fields like image-based 3D shape retrieval and instance segmentation. Explore Alibaba Cloud competitions.
- Analytics Vidhya: As India’s largest data science community, Analytics Vidhya provides a platform for a wide range of hackathons. Participate in Analytics Vidhya’s hackathons.
- CodaLab: A joint venture between Microsoft and Stanford University, CodaLab is a French-based competition platform featuring a free cloud-based notebook for collaborative projects. Discover CodaLab.
- AIcrowd: AIcrowd hosts a variety of AI challenges, encouraging collaboration and innovation among data scientists. Explore AIcrowd.
- DPhi: A newer platform, DPhi focuses on learning and growing in data science through competitions and collaborative projects. Check out DPhi.
- Halite by Two Sigma: An AI programming challenge where participants write algorithms to automate decision-making in a simulated environment. It’s a great way to dive into the world of AI strategy games. Learn more about Halite.
Each of these data science competition platforms offers unique opportunities and challenges, making them ideal for both beginners and expert data scientists at various stages of their careers to learn, compete, and contribute to a wide array of problems.
I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.
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I found it very helpful. However the differences are not too understandable for me