Jupyter Notebook Deployment — No more Jupyter(.ipynb) to Python(.py)Jupyter Notebooks are arguably one of the most popular tools used by Data Engineers and Data Scientists worldwide. Data ETLs, machine…Feb 24, 2021Feb 24, 2021
Transfer Learning — Introduction, Use Cases and Tips to DeployTransfer Learning is a recognised hack to build high performance deep learning models with limited datasets and much less compute.Feb 12, 2021Feb 12, 2021
Auto generate a modern web application to showcase your KNIME modelsKNIME is a free and open source data analytics, reporting and integration platform. It allows us to create workflows to ingest data…May 10, 2020May 10, 2020
Deploy your PMML models to production in under two minutesToday numerous platforms and frameworks support exporting models to PMML format, making it easier to deploy and integrate these models…Apr 10, 2020Apr 10, 2020
Fastest way to set up H2O.ai cluster using Clouderizer WorkspaceH2O.ai is one of the most popular AutoML platforms, helping citizen data scientists create predictive ML models in minutes. Being free and…Mar 16, 2020Mar 16, 2020
Best way to deploy and showcase your H2O Machine Learning modelsH2O.ai helps businesses to create machine learning models to extract insights from their data, without having in-house expertise in…Mar 15, 2020Mar 15, 2020
Published inTowards Data ScienceFastest way to serve, demo and test your Deep Learning Model with a mobile web app and REST APIsOnce we have designed, trained and perfected our Deep Learning model, quick and easy way to deploy this model to evaluate it with real life…Jun 17, 20181Jun 17, 20181
