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MCenter
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Algorithmia
TestGorillaAlgorithmia is recommended for data scientists, machine learning engineers, and developers who need a flexible and scalable environment to deploy, manage, and share AI and machine learning models. It is particularly suitable for teams seeking to collaborate and leverage pre-built algorithms from a community-driven marketplace. Businesses looking to integrate machine learning capabilities into their operations without extensive infrastructure management will also benefit from Algorithmia's offerings.
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Weโve been using TestGorilla as part of our hiring process to screen applicants before bringing them into interviews, and itโs proven quite useful. The idea is simple but helpful: instead of spending hours reviewing resumes, you give candidates a relevant test right away. Seeing how people perform on real job-related tasks gives us a much clearer picture early on.
The test library is broad, covering everything from coding challenges and software proficiency to logical thinking and communication skills. Setting up and sending tests doesnโt take long, and the results are laid out in a clear way that makes comparison between applicants straightforward.
Where it falls a bit short is in the depth of some tests โ a few feel like theyโre too surface-level to really separate top performers from average ones. Creating your own custom assessments is possible, but the interface for doing that could use refinement. Also, once you scale up hiring, costs add up โ especially if every team needs access.
Overall, TestGorilla adds real value to the recruiting process by helping weed out unfit candidates early and giving objective data on skills โ which is why I give it 4 out of 5 stars.
Based on our record, Algorithmia should be more popular than TestGorilla. It has been mentiond 5 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.
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 4 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 4 years ago
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 4 years ago
Seems similar to https://algorithmia.com. Source: over 4 years ago
Algorithmia.com โ Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 5 years ago
What I had in mind was using either SHL-style aptitude tests, or third party assessments like testgorilla.com rather than a take-home exercise that I'd be moderating. I also remembered doing an online knowledge test of various web technologies when I used to be a web-dev - which could be useful for assessing Unity/C# knowledge. Source: over 3 years ago
MCenter - Machine Learning Operationalization
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.
iMocha - Make intelligent talent decisions.
Spell - Deep Learning and AI accessible to everyone
mettl - Mettl is a #SaaS based Online #Assessment Platform which helps you measure a candidate's #Aptitude, #Technical skills & conduct