Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. Machine Learning algorithms often need to handle highly-imbalanced datasets. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 57–78.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

FineReport

DECEMBER 19, 2019

Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. How Do Super Rookies Start Learning Data Analysis? From Google.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Ontotext

AUGUST 31, 2023

Have you ever been in a conversation where someone mentioned a “knowledge graph,” only to realize that their description was completely different from what you had in mind? Imagine that you want to optimize your supply chain using machine learning. But what does it mean to ‘optimize the supply chain’?

Modeling 64

Modeling Optimization Knowledge Discovery Enterprise 64

Domino Data Lab

JUNE 15, 2021

Now let’s implement a simple machine learning scoring function against our test data. custom machine learning algorithms), etc. Although in this article we focused on one-way use-cases (i.e. These can be pre-trained models, vector space models, additional Java classes (e.g. About Domino.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69