According to a new press release, “Neo4jⓇ, the leader in graph technology, announced the availability of Neo4j for Graph Data Science, the first data science environment built to harness the predictive power of relationships for enterprise deployments. The unpredictability of the current economic climate underscores the need for organizations to get more value out of […]
Dell EMC and Comet Announce Machine Learning Platform Collaboration
A recent press release reports, “Dell EMC, a leading provider of full-stack solutions for data science teams, and Comet, the industry-leading meta machine learning experimentation platform, announced a collaboration with a reference architecture for data science teams looking to harness the power of the Dell EMC infrastructure in tandem with Comet’s meta machine learning platform. […]
Ensemble Models: Bagging and Boosting
Click to learn more about author Rosaria Silipo. Ensemble models combine multiple learning algorithms to improve the predictive performance of each algorithm alone. There are two main strategies to ensemble models — bagging and boosting — and many examples of predefined ensemble algorithms. Bootstrap aggregation, or bagging, is an ensemble meta-learning technique that trains many […]
KNIME Launches Integrated Deployment
According to a new press release, “KNIME today unveiled a groundbreaking approach — Integrated Deployment — to eliminate the gap between the creation of data science models and their use in production. Integrated Deployment allows not just a model but all of its associated preparation and post-process steps to be identified and automatically reused in […]
Klarrio and UBIX Announce AI and Data-Science Partnership
According to a recent press release, “Klarrio and UBIX have entered into a consulting partnership agreement, in which both firms will collaborate on a number of data science and artificial intelligence (AI) initiatives. Under the agreement, Klarrio, one of the world’s leading providers of real-time data-streaming solutions, will provide services and delivery capabilities to enhance […]
Ascend.io Expands Its Unified Data Engineering Platform
A new press release states, “Ascend.io, the data engineering company, today announced it has expanded the Ascend Unified Data Engineering Platform with the addition of Ascend Govern, a first of its kind suite of tracking, reporting, and security capabilities for a more granular understanding of how data is being used throughout an organization. Ascend Govern […]
SAP Offers a New Digital Learning Initiative to All
A recent press release reports, “SAP SE today announced a new digital learning initiative offering innovative, interactive educational content to support students, professionals and anyone wishing to continue to learn during this challenging time. ‘The effects of the COVID-19 pandemic are impacting everyone around the world,’ said Christian Klein, Co-CEO and Member of the Executive […]
How Automation, AI, and Data Integration are Transforming the Pharmaceutical Industry
Click to learn more about author Joe Rymsza. Pharma companies are more challenged than ever to bring drugs to market safely and cost-effectively. Roadblocks to success include the ever-evolving regulatory environment, growing patient safety concerns, and the burden of outdated technology solutions. Today many businesses find themselves burdened with rigid and costly compliance processes. Furthermore, […]
Alluxio Unveils Structured Data Service
According to a new press release, “Alluxio, the developer of open source cloud data orchestration software, today announced the availability of Alluxio Structured Data Service (SDS) featuring a data Catalog Service and Transformation Service, two new major architectural components of its Data Orchestration Platform. Data engineers, architects and developers can now spend less resources storing […]
From Modeling to Scoring: Confusion Matrix and Class Statistics
Click to learn more about author Maarit Widmann. Wheeling like a hamster in the Data Science cycle? Don’t know when to stop training your model? Model evaluation is an important part of a data science project and it’s exactly this part that quantifies how good your model is, how much it has improved from the previous […]