Sparkflows,your NextGen Self-Service Analytics & Data Science Platform. Check out our Sparkflows Product Video for a short capabilities overview #ai#datascience#lowcode#mlcode
https://t.co/sZiIJuuYAD
Unlocking Innovation: Join us for a captivating demo session where we showcase our latest video and spark a collective exchange of ideas! πβ¨ #InnovationUnleashed#DemoDay#CollaborateWithUs
Step into innovation! π Join us at Pod 6 for a hands-on demo, interactive sessions, and a collaborative space to share groundbreaking ideas.#HPEDiscover#Sparkflows#InnovationUnleashed#TechCollaboration
Click here to know more: https://t.co/VNfULQ8LyA
Sparkflows #AutoML experiment starts by selecting the dataset and type of package. Each experiment will provide the leaderboard with different models & the hyperparameters used in the experiments. #freetrial#ML#lowcode
https://t.co/DPVT0BXmuw
Build highly scalable #Data#Pipeline at 10X the speed to cater to your fast changing business needs. #Sparkflows#lowcodenocode platform enables this with a production ready pipeline in no time. Our latest blog gives a sneak peak into the same https://t.co/rotF6FaDRM
Self-serve empowers users to build powerful use cases to derive the most business value, transforming businesses into #data driven companies.
#Sparkflows is enabling thousands of non-data users to build Data and #AI solutions at scale. https://t.co/uXDjEE0odE
Sparkflows #AutoML experiment starts by selecting the dataset and type of package. Each experiment will provide the leaderboard with different models & the hyperparameters used in the experiments. #ML#lowcode
https://t.co/DPVT0BXmuw
Build best-in-class Machine Learning applications using drag-and-drop processors in #Sparkflows and make data driven decisions in real time. Download a free 90 day trial version to kickstart your journey. https://t.co/kJ8CJmK0Pl #lowcode#MachineLearning#DataAnalytics
Sparkflows is excited to partner with Hewlett Packard Enterprise to accelerate the implementation of #machinelearning with powerful Self-Serve.
Looking forward to sharing significant developments soon.
#sparkflows#machinelearning#ai#hpe#hpegreenlake
https://t.co/GWwH0jFFvx
Data cleaning of your raw data by identifying and correcting errors that may negatively impact a predictive model is one of the main steps in building your model. Learn how to leverage #Sparkflows to build your #datapipeline at https://t.co/SybDoHgyEx
With Sparkflows you can quickly build multiple ML models using Spark ML, H2O, Scikit Learn, AWS SageMaker and Tensorflow. Read more on our blog at https://t.co/ybWbW9bWmw #apachespark#lowcode#mlcode#sparkML
Democratize Big data reach across your organization. Sparkflows is being used by teams of Data Scientist, Data Engineers and Data Analysts. Learn more about us at https://t.co/P3mn0knp3V #Sparfklows#ml#DataScience#dataScientist#Analytics#mlcode
Join our live #community at https://t.co/bHlPXFlAwm. Share & explore ideas with your peers.Suggest improvements & missing features in #Sparkflows.Get help with your use cases or installation problems. In general,let's meet & have fun together. #DataAnalytics#lowcode
Build best-in-class Machine Learning applications using drag-and-drop processors in #Sparkflows and make data driven decisions in real time. Download a free 90 day trial version to kickstart your journey. https://t.co/kJ8CJmspqL #lowcode#ml#DataScience#mlcode
How to build a recommendation engine? Our short #Youtube video shows how fast it is to start implementing one today. Watch at https://t.co/XurOoH0GMm #ml#mlcode#datascience#MachineLearning
Read and write to Databricks Tables, Interact seamlessly with DBFS & Delta Lake using out of the box processors. Empower your users with Self-Serve Advanced Analytics using #Sparkflows running on #Databricks. https://t.co/L32EJwHQie #DataAnalytics
Identify patterns and outliers in your data .Use @Sparkflows data visualizations nodes to build your dashboards and reports, now creating a distibution plot, box plot, corelation matrix has never been so easier with our #lowcode platform. Explore more at https://t.co/FJ5Kc6h93E