Colaboratory VS Numerai

Colaboratory Reviews

Numerai Reviews

Colaboratory mentions (209)

• AI Strategy Guide: How to Scale AI Across Your Business

  Model execution is about making your AI model available to the end user. Great results only your laptop or Google Colab notebook won't cut it in a business. The AI model has to integrate with your business IT if it's going to deliver value. - Source: dev.to / 4 days ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Google Colab - Free Jupyter Notebooks development environment. - Source: dev.to / 3 months ago

• A playground to practice differential privacy - Antigranular

  To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab. - Source: dev.to / 5 months ago

• Topic and Subtopic Extraction with the Google Gemini Pro

  Please head over to the Google Colab. - Source: dev.to / 5 months ago

• How do I begin building AI tools for myself?

  But regardless of what you want to do, you'll probably use Python. In this context, a good way to work with Python is using Jupyter Notebooks. So you should start with installing Python and Jupyter and go from there. If you want to get started without installing anything, Google Colab gives you a remote Jupyter Notebook which runs in the browser for free. Source: 5 months ago

Numerai mentions (19)

• Cryptographers Solve Decades-Old Privacy Problem

  For example the Numerai hedge fund's data science tournament for crowdsourced stock market prediction is giving out their expensive hedge fund quality data to their users but it's transformed enough that the users don't actually know what the data is, yet the machine learning models are still working on it. To my knowledge it's not homomorphic encryption because that would be still too computational expensive, but... - Source: Hacker News / 6 months ago

• Stock Market Charts You Never Saw

  If you are interested in the machine learning part, you can try the Numerai tournament ( http://numer.ai ). They provide obfuscated high quality hedge fund data that participants can train their models on and send back only their predictions and then they combine the user's predictions into their market neutral meta model which they actively trade. So far their fund's returns looks promising in their category... - Source: Hacker News / over 1 year ago

• [P] Seeking collaboration with VERY experience ML scientist (Lucrative opportunity)

  This does not solve your problem, but you would be interested in https://numer.ai which is a "wisdom of the crowds" ML competition for stock market predictions. Source: almost 2 years ago

• Ask HN: Who is hiring? (January 2022)

  Company: Numerai (https://numer.ai) Position: Web Developer Location: San Francisco (Remote/On-site with WFH days) Numerai is a new kind of hedge fund powered by thousands of competing data scientists from around the world, all working to predict the stock market. - Source: Hacker News / over 2 years ago

• Finally did it: I made a crypto trading bot that automatically places orders on new listings before they get added on Binance

  Also it seems you would enjoy the numer.ai stock prediction hedge fund tournament if you didn't already know about it. It's interesting not because of their token, and it's not about pump & dumps but because it's about providing actually useful stock predictions using machine learning models and getting rewarded for it. And you don't have to worry about the technical details of the trade execution on exchanges. So... Source: over 2 years ago