DataRobot Blog

JANUARY 10, 2023

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. DataRobot Notebooks is a fully hosted and managed notebooks platform with auto-scaling compute capabilities so you can focus more on the data science and less on low-level infrastructure management. A host of open-source libraries.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

AWS Big Data

JANUARY 9, 2024

It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches. This functionality was initially released as experimental in OpenSearch Service version 2.4, This is also called embedding the text into the vector space.

Cost-Benefit 91

Cost-Benefit Visualization Modeling Machine Learning 91

AWS Big Data

MAY 2, 2023

If your updates to a dataset triggers multiple subsequent DAGs, then you can use the Airflow metric max_active_tasks_per_dag to control the parallelism of the consumer DAG and reduce the chance of overloading the system. The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data.

Testing 100

Testing Experimentation Management Metadata 100

Business Over Broadway

MAY 22, 2019

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

datapine

MAY 20, 2020

At its core, CRM dashboard software is a smart vessel for data analytics and business intelligence – digital innovation that hosts a wealth of insightful CRM reports. This most value-driven CRM dashboard and a powerful piece of CRM reporting software host a cohesive mix of visual KPIs. Let’s look at this in more detail.

Dashboards 265

Dashboards Reporting KPI Visualization 265

DataKitchen

APRIL 13, 2021

A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. GitHub – A provider of Internet hosting for software development and version control using Git. AWS Code Commit – A fully-managed source control service that hosts secure Git-based repositories.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Occam's Razor

DECEMBER 9, 2009

Who owns the power to make changes to the site (not who owns updating pages or hosting the site)? After a lot of experimentation and failures I have come to realize that often (if above conditions are met) Marketing is the best organization for Web Analytics to be in. This is a nuance to the discussion above. You are out man!

Analytics 95

Analytics Data-driven Marketing Sales 95

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. You can choose to host your collection on a public endpoint or within a VPC.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Domino Data Lab

JUNE 10, 2020

Today, many of the Fortune 100 companies that we’re proud to call customers use the model hosting function inside Domino to support their diverse business and operational requirements. But some customers prefer to use Amazon SageMaker for its own highly-scalable and low-latency hosting functionality. In Domino 4.2

Data Science 82

Data Science Enterprise Experimentation Modeling 82

AWS Big Data

JULY 20, 2023

This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK). Additionally, partition evolution enables experimentation with various partitioning strategies to optimize cost and performance without requiring a rewrite of the table’s data every time.

Data Lake 85

Data Lake Analytics Snapshot Optimization 85

Domino Data Lab

MAY 8, 2019

At CMU I joined a panel hosted by Zachary Lipton where someone in the audience asked a question about machine learning model interpretation. If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Noisy Neighbors in Large, Multi-Tenant Clusters. Once configured and secured, the cluster administrator (admin) gives access to a few individuals to onboard their workloads. Cloudera Manager 6.2

Metadata 85

Metadata Data Lake Optimization Strategy 85

DataRobot Blog

MARCH 7, 2023

DataRobot on Azure accelerates the machine learning lifecycle with advanced capabilities for rapid experimentation across new data sources and multiple problem types. Models trained in DataRobot can also be easily deployed to Azure Machine Learning, allowing users to host models easier in a secure way.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

DataRobot

APRIL 29, 2021

Eric Weber is Head of Experimentation And Metrics for Yelp. Rob O’Neill is Head of Analytics for the University Hospitals of Morecambe Bay, NHS Foundation Trust , where he leads teams focused on business intelligence, data science, and information management.

Machine Learning 59

Machine Learning Experimentation Data-driven Data Science 59

Occam's Razor

MARCH 7, 2016

You own audiences on your email lists, on forums you host etc. Of course, measure that using the four best social media metrics !) Here's the very first newsletter I'd sent, two weeks ago, and it touched on a confusion I find common, and frustrating… TMAI #1: Metric or KPI, how do you decide? A good one.

Marketing Analytics 86

Marketing Analytics Marketing Analytics KPI 86