Business Analytics Data Engineering Examples Metrics 
Cloudera
FEBRUARY 25, 2021
They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. Build a scikit-learn model to predict churn using customer telco data, and interpret each prediction with LIME. Built By Experts At The Leading Edge Of ML innovation.
Apiumhub
APRIL 1, 2021
Each of these concepts is explained well and there are examples along with an explanation of how the concepts are relevant in data science. Important note: It is a quick and easy reference, however, is not sufficient for mastering the concepts in-depth as the explanations and examples are not detailed.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Altexsoft
FEBRUARY 8, 2021
The data that your procurement management software generates can help you analyze potential suppliers’ performance by comparing their KPIs, prices, compliance, and other variables. Supplier performance review implies analyzing current suppliers’ metrics throughout your partnership which would help you with future negotiations and strategies.
O'Reilly Media - Ideas
MARCH 1, 2023
The signals are often confusing: for example, interest in content about the “big three” cloud providers is slightly down, while interest in content about cloud migration is significantly up. But it’s important to recognize the metric’s shortcomings; as George Box (almost) 1 said, “All metrics are wrong, but some are useful.”
Kentik
SEPTEMBER 5, 2017
To briefly review, Interface Classification enables an organization to quickly and efficiently assign a Connectivity Type and Network Boundary value to every interface in the network, and to store those values in the Kentik Data Engine (KDE) records of each flow that is ingested by Kentik Detect. Devices : Select all routers.
Expert insights. Personalized for you.
85 
Let's personalize your content