Multipersona Data Science and Machine Learning Platforms Reviews and Ratings

I have had a great experience learning and using Alteryx Designer. From the online community to the how-to guides I have been 100% supported the entire way.

I'm very impressed with IBM SPSS Statistics as it helps me to prepare and analyze datasets using it's intuitive and user-friendly drag-and-drop interface without coding skills.It facilitate accurate data entries.It is simple to collect data from multiple sources with this tool.If facilitate great process of making data-driven business decisions.

I am very satisfied with the product. It is easy to use and learn. The user interface is also good. It is a very powerful tool for data analysis and visualization. Matlab is one of the best tools for scientific simulations. Image processing and signal processing methods are also available.

RapidMiner Studio helps us evaluate and communicate our concepts in a simple and understandable way, and also expedites our data-driven transformations. As an outcome of all this, our information collection, model confirmation, data augmentation, and visualization methods have all changed considerably. This has completely changed the approach we handle our database schemas, how we achieve success and make long-term plans, and how we make decisions. We've deployed RapidMinor Studio throughout our whole business since it's applicable for each and every use case, sparing us a tremendous quantity of effort and resources.

My experience with this product has been nothing but pleasant. Absolutely enjoy using and creating notebooks in Databricks. The cloud performance just makes big data processing seamless and convenient.

DataRobot enables us to know what will be our products ratings and reviews, it advises us for our business. It also warns us if our product has any issues, it notifies us about the profit or less in the advance. This software is a great example of artificial intelligence and it understands our requirements and offers us new ideas for our product. It also analysis about our product or any type of data and corrects the mistakes and instructs us about what should we do next. DataRobot shares the total analytics of our service and tells us if it will be profitable or not.

Implementation of server has had its ups and downs and Alteryx needs more support and services offered to customers on implementation. Other than that the program is fantastic and is so flexible and fits many needs for an analytic organization.

As an avid user of Machine Learning tools, I recently had the privilege of diving into the world of AWS SageMaker, it's been an incredibly awarding experience. It offers a comprehensive suite of features that caters to both beginners and seasoned data scientists. Some of its amazing features include easy hyperparameter tuning, scalability, ease of deployment, user-friendly interface, high-cost efficiency, etc. Hence it deserves a 5-star rating.

Pipeline refresh process is sped up. The servers are reliable and powerful and never go down. Scalable API support and provide real time inference.

As a user, responses to queries are quick and comprehensive.

KNIME Analytics is an open source analytics platform designed for making data science especially for those whose does not know coding. It allows to create visual workflows in a very easy way. Creating a workflow that will read, transform, and visualize data involves very few steps.

With my 10 years of experience on various Data Science tools and platforms, worked on Alteryx server to publish analytical workflows and scheduled them

SAS EM has been a great product in terms of scalability and support for Text Mining capabilities. We were able to quickly learn and deploy several Models.

It helps in arranging a large set of data and expedite the process

Anaconda provides a packaged solution for not only data professionals but also for other field experts like Python developer. It's been around 3 years when I started learning Python in Jupyter notebook through anaconda to now, when I am working as a data professional. Instead of installing each and every environment separately, Anaconda provided me a one-stop-solution for all my needs.

TIBCO Data Science has been helping my team of data scientists with creating a framework of Machine Learning models that can be reused by various product teams of my company. It allows us to collaborate and work on these models very efficiently. It has an easy-to-use GUI and doesn't need any special training to start using this tool.

Driverless AI sets benchmarks for no-code engines, we just sit back and compare results of all algorithms. Supports our developers and reduces the coding time.

I have been using it for long time, since a student at university, and it is an easy software to use that allows to make complex analyses without effort.

Vertex AI by Google offer a plethora of AI products that helps developers to access pre trained models and customize and fine tune according to their needs. Vertex AI can affect project development cycles and can reduce time to train and deploy deep learning models significantly.

It helps us deploy industry level models for scale-infrastructure and developing and managing models at a place. This makes work distribution easy and ensures higher productivity.