Ontotext

SEPTEMBER 15, 2020

These additional software components need to be updated, tested and deployed, which goes counter to the Data Fabric goal of creating frictionless movement of data. Ontotext Platform ensures data is accessible to the people in the organization that need the data rather than depending on a technical staff to package it and ferry it to them.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Ontotext

AUGUST 16, 2019

The training is structured to follow the steps of building a simple prototype to test the feasibility of the technology with hands-on guidance by experienced instructors. The answers to these questions are presented in the course of week-long, self-paced sessions and a 4.5-hour hour live online practice session.

Knowledge Discovery 40

Knowledge Discovery Technology Metadata Interactive 40

Domino Data Lab

MAY 20, 2021

Their tests are performed using C4.5-generated note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Chawla et al., 1998) and others).

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

JUNE 15, 2021

We can now test the function from our Domino Workspace (JupyterLab in this case): cur.execute("SELECT ADD(5,2)") cur.fetchone()[0]. Now let’s implement a simple machine learning scoring function against our test data. Running this DDL in Snowflake results in a “Function ADD successfully completed” message.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

One way to check $f_theta$ is to gather test data and check whether the model fits the relationship between training and test data. This tests the model’s ability to distinguish what is common for each item between the two data sets (the underlying $theta$) and what is different (the draw from $f_theta$).

KDD 40

KDD Testing Machine Learning Modeling 40

Ontotext

APRIL 4, 2019

Milena Yankova : Our work is focused on helping companies make sense of their own knowledge. Within a large enterprise, there is a huge amount of data accumulated over the years – many decisions have been made and different methods have been tested. Some of this knowledge is locked and the company cannot access it.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

The Unofficial Google Data Science Blog

JANUARY 14, 2016

For this purpose, let’s assume we use a t-test for difference between group means. Effect size thus defined is useful because the statistical power of a classical test for $delta$ being non-zero depends on $e/sqrt{tilde{n}}$, where $tilde{n}$ is the harmonic mean of sample sizes of the two groups being compared.

Experimentation 41

Experimentation Statistics Metrics Measurement 41