Peter James Thomas

AUGUST 4, 2020

A revised and expanded version of the peterjamesthomas.com Data and Analytics Dictionary has been published. The previous Dictionary was not the easiest to read on mobile devices. The new Dictionary includes 22 additional definitions, bringing the total number of entries to 220, totalling well over twenty thousand words.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

Domino Data Lab

JULY 1, 2021

The model achieves relatively high accuracy and all data and code is freely available in the article. The drawback with statistical model-based techniques is that the automated extraction of a comprehensive set of rules requires a large amount of labeled training data. Data exploration and preparation.

Modeling 111

Modeling Statistics Testing Metrics 111

Domino Data Lab

AUGUST 26, 2019

Data scientists, machine learning (ML) researchers, and business stakeholders have a high-stakes investment in the predictive accuracy of models. Data scientists and researchers ascertain predictive accuracy of models using different techniques, methodologies, and settings, including model parameters and hyperparameters. Introduction.

Testing 79

Testing Modeling Machine Learning Metrics 79

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models.

Testing 68

Testing Modeling Interactive Measurement 68

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Preprocessing Natural Language Data. Example 11.4

Deep Learning 111

Deep Learning Modeling Metrics Testing 111