![]() RapidMiner 9 includes a number of additional enhancements, including: Everyone who upgrades to RapidMiner 9 will automatically receive a 30-day trial of RapidMiner Studio Large, including Turbo Prep. Turbo Prep is included with paid and academic RapidMiner Studio licenses. Even experienced data scientists will love the productivity gains they’ll get with Turbo Prep.” When combined with RapidMiner Auto Model, analysts can now easily build predictive models on their own. “With Turbo Prep, analysts now have access to a purpose-built data prep experience right inside RapidMiner Studio. “RapidMiner Studio has always provided sophisticated data prep capabilities, but it was a bit daunting for analysts to learn,” said Ingo Mierswa, RapidMiner founder. Save data as Excel or CSV or send it to data visualization products like Qlik. When you are finished, send your data directly to RapidMiner Studio or Auto Model for model creation. Re-use and share: Create repeatable data prep processes to save time.Use Turbo Prep to quickly extract, join, filter, group, pivot, transform and cleanse your data. ![]() Blend, wrangle, and cleanse: Easily blend and join data from a variety of sources including relational databases, NoSQL, APIs, spreadsheets, applications, social media, and more.Point and click: Users interact intuitively with the data and immediately see how changes impact results in real time.With Turbo Prep, analysts can easily transform, pivot and blend data from multiple sources with a few clicks while instantly seeing the impact of the data prep actions on their data. Turbo Prep is a new product from RapidMiner that accelerates time-consuming data prep tasks to speed the productivity of analytics teams. According to a recent Harvard Business Review publication, analytics teams spend 80% of their time preparing data, slowed by clunky data prep tools and scarce data science expertise. I also found that the application lacks collaboration features which may be something that they could improve on in the future.RapidMiner, the leading data science platform for analytics teams, announced the immediate availability of RapidMiner 9.0 with Turbo Prep. This may not be a problem for people with a higher spec machine. This may be because the application is running on Java (VM). Aside from this I found that the application seems to hog my computers memory and cpu resources. This may be a problem limited to my own machine. What I found to be very inconvenient is that the application crashes at times. And finally, RapidMiner Studio has a community of data scientists that can help you when you have a question. Tutorial videos as well as blogs are available on their website. Each of the processes has their description, input, output, and parameters well described. One of the difficulties when dealing with code is tweaking the parameters of these models but because of the visual interface, you could simply click on the process and update this. RapidMiner Studio also has most of the machine learning models used in the academe and the industry. Data preparation to the final output and visualization is as simple as dragging blocks of your workflow into a canvas and connecting them altogether. This is because RapidMiner features are drag and drop visual interface which makes all the difference. However, this is now a thing of the past because of RapidMiner Studio. This can be a time consuming problem, especially for those who are not adept at programming. ![]() This is on top of having to analyze and learn complex algorithms needed for the task. One of the daunting requirements for data scientists and data storytellers is learning a programming language such as matlab and python and writing code for their tasks. Its well documented functions and strong community addresses what ever questions I had with the processes. It is a great tool for students and people without a strong programming background. It also allowed me to conveniently address my workflow without having to write code. It allowed me to rapidly try out different machine learning models and compare each result with one another. Overall my experience with using RapidMiner was great. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |