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Spell Review

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Very good

Revainrating 4 out of 5  
Rating 
4.2
Artificial Intelligence, AI and Machine Learning Operationalization

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Description of Spell

Spell is a platform that makes Machine Learning and Deep Learning accessible to teams of any size. An end-to-end data science and machine learning platform, Spell’s infrastructure and tools allow anyone to prepare, train, deploy, and manage machine learning projects. Accelerate Productivity Don’t be held back by infrastructure. With Spell the best CPU and GPU machine types and frameworks for experiments are accessible in seconds. Save time on setup and management with simple command line tools and an intuitive web console. Built for Teams Spell is built for team collaboration, project monitoring, and experiment reproduction. Through Jupyter workspaces, datasets, and resources, Spell gives teams everything they need to thrive and work collaboratively. Spell’s platform is straightforward, making it easy for new hires to get up to speed. Enterprise Grade White glove service that features on-premise deployment and one-on-one premium support. Spell works with enterprises’ specific operations. This includes integrating with Single sign-on systems, internal data stores, and governance systems. Spell provides the services necessary for clients to be successful in machine learning endeavors.

Reviews

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Type of review

The user interface design language for spell was well thought out & easy enough to understand even by someone who has no background in programming or coding at all! It's not very customizable but this can be fixed with some more work from their side as they are open source software. I believe it would have been better if there were options like python3 instead of 2 which might make things easier when using anaconda (which we use). We used NLP techniques mainly text classification tasks such us

Pros
  • Simple, intuitive ui that is really good looking one stop shop solution without having too much stuff going through your computer memory
Cons
  • I don't really have any dislikes about this, everything is just fine

Revainrating 4 out of 5

Spell is best place to go when we want our problems solved

It's really easy for my team members who are new in Data Science or ML (Machine Larning) area which helps them learn fast by using this amazing tool with great support from their awesome community! I dislike nothing yet since it has everything what you need as an expert user/developer /data scientist etc.. So if your problem solver needs such type services then i would highly recommend spell because they have all things under one roof so no confusion while searching something here there &…

Pros
  • Great Community
  • Excellent Support Team
  • Amazing Platform to use data science related resources easily without any trouble at least once try out spelling engine will surely help everyone :)
Cons
  • Nothing till now

Revainrating 4 out of 5

User friendly but complicated at times

Easy drag and drop interface for ML algorithms without requiring advanced programming skills. I like how it's easy to use without having to go through training or getting an expert in deep learning models. There was a lot of confusion when using this software because there were too many settings which made some features difficult to find. This can be confusing since you have to understand your own needs before trying out different methods. It wasn't very clear how to make changes so that they…

Pros
  • Deep Learning
  • Data Science tools available within one toolbox.
  • Ability To Run Multiple Models Simultaneously In One Jupyter Notebook Cell
  • Very Fast Algorithm ConvergenceTime
Cons
  • Too Many Configuration Options
  • Difficult Interface

It has a ton of integrations to other cloud platforms, including AWS and GCP. There is an awesome documentation portal and tutorial library for beginners. However, the biggest drawback of the platform is the pricing. You have to pay for every single server and computer that you use, which can be costly if you're scaling up quickly. It has all the basic functions that you would expect from a machine learning toolkit. Data exploration, feature engineering, modeling, etc. We use Spell extensively

Pros
  • Has tons of useful libraries and integrations to other cloud platforms (Google Cloud, AWS).
  • A very intuitive dashboard for easy access to everything you need to do data analysis.
  • Good documentation for newbies who are just starting out.
Cons
  • A $100 monthly fee for each instance is steep for a free product.
  • How do you know if you're being treated fairly?