DataRobot

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. Validating Machine Learning Models.

Compliance 52

Compliance Metrics Machine Learning Artificial Inteligence 52

DataRobot

APRIL 20, 2021

In this installment, I’ll cover four key elements of trusted AI that relate to the performance of a model: data quality, accuracy, robustness and stability, and speed. The performance of any machine learning model is tightly linked to the data it was trained on and validated against. Quality Input Means Quality Output.

Performance 52

Performance Machine Learning Artificial Inteligence Open Source 52

DataRobot

APRIL 13, 2021

Market Metrics says that the probability of selling to an existing customer is in the 60-70 percent range, but only in the 15-20 percent range for a new prospect. Before you launch the campaign, use DataRobot to train a machine learning churn model , using historical data on those customers who have churned in the past.

eBook 52

eBook Machine Learning Artificial Inteligence Metrics 52

Tenable

FEBRUARY 26, 2020

AWARE then assigns scores for the above three categories of vulnerability based on four metrics: Base – The base CVSS (Common Vulnerability Scoring System) value, scaled to prioritize the worst problems first. To learn more about risk-based vulnerability management, visit: [link].

Security 55

Security Machine Learning Artificial Inteligence eBook 55

Modus Create

JUNE 30, 2021

Wider adoption of AI (Artificial Intelligence) and ML (Machine Learning) technologies. Even though the pace of adoption hasn’t shown a significant acceleration based on this metric, this doesn’t indicate a decline in their popularity. You can explore our predictions in detail in this eBook. .

Open Source 94

Open Source Artificial Inteligence Technical Review Agile 94

DataRobot

MARCH 23, 2023

This is why businesses are increasingly investing in machine learning operations (MLOps): IDC predicts by 2024, 60% of enterprises will have operationalized their ML workflows by using MLOps. How would it cope with scale and managing additional models? 2 What Is MLOps and How Does It Help?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Weak Development Team Software Review 52

IDC

JANUARY 18, 2019

Furthermore, AI, machine learning, IoT, and other soup de-jour terms have become commonplace in the marketing campaigns and product roadmaps of most application providers, further complicating what buyers need to assess and evaluate when purchasing SaaS. Want to learn more about what buyers look for when evaluating SaaS?

Survey 40

Survey eBook Cloud Metrics 40

TIBCO - Connected Intelligence

MARCH 16, 2020

The user can choose the similarity metric—Euclidean or Correlation—and other parameters like number of clusters to create line similarity or clustering label column in the data. Hierarchical clustering is also available from the tools menu in Spotfire and results in heat map visualization with dendrogram based on distance metric.

eBook 26

eBook Analytics Analysis Metrics 26

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. Based on units viewed, scikit-learn was the most popular library.

Trends 132

Trends Technical Review Technology Software Review 132

Samanage

JUNE 4, 2019

We cover some of them in our free eBook, 150 Ways to Automate Service Management Throughout Your Organization. There are several ways that artificial intelligence (AI) and other innovative technologies are impacting employee service success, and thereby driving both efficiency and effectiveness across organizations.

Budget 40

Budget Artificial Intelligence Artificial Inteligence eBook 40

Cloudera

SEPTEMBER 17, 2020

DE empowers the data engineer by centralizing all these disparate sources of data — run times, logs, configurations, performance metrics — to provide a single pane of glass and operationalize their data pipeline at scale. For starters it lacks metrics around cpu, memory utilization that are easily correlated across the lifetime of the job.

Data Engineering 102

Data Engineering Engineering Data Tools 102

Tenable

SEPTEMBER 30, 2019

Most of the data they’re able to access from common vulnerability management tools is available only in their native tongue: the language of vulnerabilities. . Lumin uses a variety of metrics to help users understand the following: . Lumin uses several metrics to help you assess your cyber risk: Vulnerability Priority Rating (VPR).

Technical Review 16

Technical Review Metrics eBook Trends 16

Exadel

JULY 9, 2021

You’re also experimenting with “cool” technologies like augmented reality and artificial intelligence (think AI-driven chatbots and face morphing apps), but these projects comprise just 15% of your portfolio. Create downloadables — white papers or eBooks — based on the original content.

Tools 52

Tools Company How To Technical Review 52

DataRobot

NOVEMBER 8, 2022

To do that, we have expanded beyond intermediary signals, like reach and other delivery metrics, and applied more focus on measurement that is linked to business outcomes—because it allows us to have better and more nuanced conversations. Machine Learning and AI Fuel Media Governance, Performance Success, and Analytics.

Analytics 59

Analytics Performance Marketing Media 59