ai-jobs.net
LinkedIn
Data Yoshi
indeed
Monster.com
Future Jobs
Glassdoor
Remote OK
Deepnote
Amazon SageMaker
Apache Zeppelin
Saturn Cloud
Databricks Unified Analytics Platform
Google BigQuery
GeoSpock
Azure Synapse Analytics
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Based on our record, Deepnote should be more popular than ai-jobs.net. It has been mentiond 32 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This was something was afraid of. Thanks for sharing relevant sources. Also, do you know this site?: ai-jobs.net How relevant could be it to Australia? I noticed it's used for several job/salary analyses, but it didn't provide as much information about companies as Glassdoor. Source: 11 months ago
I've been applying for several jobs on Linkedin / ai-jobs.net (with personalized letters) but didn't really get any response. I'll be attaching my CV, where you can see my skills / work in detail. I'd greatly appreciate any / all sort of feedback. Source: about 1 year ago
Ai-jobs.net has you covered - it currently lists over 1K open remote roles globally: https://ai-jobs.net/remote-jobs/. Source: over 1 year ago
Ai-jobs.net - The most comprehensive, lean and clean, no-nonsense job site related to all things Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general. (RSS feed: https://ai-jobs.net/feed/). - Source: dev.to / over 1 year ago
I think it's a pretty solid list. At first glance, kinda similar UI to https://ai-jobs.net/ where I usually look for AI-related jobs. - Source: Hacker News / over 1 year ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / 4 months ago
We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / 12 months ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / about 1 year ago
Using Deepnote, we'll create a Python notebook and upload the two GeoJSON files into a data directory. - Source: dev.to / over 1 year ago
Deepnote - A new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud. Free tier includes unlimited personal projects, up to 750 hours of standard hardware and teams with up to 3 editors. - Source: dev.to / over 1 year ago
LinkedIn - LinkedIn is a business-oriented social networking service, mainly used for professional networking.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
Data Yoshi - Data Yoshi is the best place to find and post Data Science, Machine Learning, Analytics and AI jobs.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
indeed - Find jobs using Indeed, the most comprehensive search engine for jobs.
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
