Amazon Deep Learning AMIs vs. Neuton

Amazon AMIs has been very useful for the quick setup and implementation of deep learning for data analysis which is something I have used the service for in my own research. We commonly use the service to enable students to run intensive deep learning algorithms for their assessments. This service works well in this scenario as it allows students to quickly set up a suitable environment and get started with little hassle. If you are looking to run simple, surface level deep learning algorithms (kind of contradictory statement I know) then AMI is more complicated than most will need. When it comes to teaching the basics of Machine Learning, this kind of system is unnecessary and there are other alternatives which can be used. That being said this service is a must if you are looking to run complex deep learning via the cloud.

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The machine learning modeling and time-series forecasting are the best things that Neuton's platform provides. Researchers in the field of healthcare, marketing and various other industries can use this platform to get more in-depth insights into the dataset that they have been working on. Neuton.ai is going to bring in image detection and text analysis in the future which makes the perfect choice for people from product management profiles and various Data Science backgrounds.

• Setting up environment
• Support for different types of machines
• Perfect for Machine Learning / Deep Learning use cases
• Nvidia / Cuda / Conda support easily

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• Exploratory Data Analysis
• Machine learning modeling
• Time Series forecasting

• Some aspects of the User Interface are quite confusing and activating packages can be a bit convoluted
• It can be a bit confusing to switch between frameworks for novice users

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• User Onboarding with Google cloud platform is the most confusing part, this can be definitely be improved
• UI of the platform
• Front end of the website seems simple, little more features can be added so that people or users can navigate to various pages and know more about the platform

Both of these services provide similar functionality and from my experience both are top class services which cover most of your needs. I think ultimately it comes down to what you need each service for. For example Amazon DL AMIs allows for clustering by default meaning I am able to run several clustering algorithms without a problem whereas IBM Watson Studio doesn't provide this functionality. They both provide a wide range of default packages such as Amazon providing caffe-2 and IBM providing sci-kitlearn. My main point is that both are very good services which have very similar functionality, you just need to think about the costs, suitability of features and integration with other services you are using.

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• Saves a lot of Infra Costs
• Saves a lot of time in handling environment issues
• Easy to start a new instance

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• We have had 2% increase in our market reach using the EDA from the Neuton's Platform