Domino Data Lab

APRIL 6, 2021

Training machine learning models, especially neural networks, is compute-intensive. Several years ago, artificial intelligence researchers at the University of California, Berkeley, needed an easy way to do this for the algorithms they were researching and developing. Let’s use an actor to hold the DNS data.

Data Science 81

Data Science Machine Learning Optimization Modeling 81

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Smarten

APRIL 24, 2019

The Merriam-Webster dictionary defines the word ‘augment’ this way: ‘to make greater, more numerous, larger or more intense’ If you are wondering how this applies to the term ‘augmented analytics’, you are not alone. It automates data preparation and allows for easy data sharing.

Business Intelligence 0

Business Intelligence Analytics IT Metrics 0

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

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

O'Reilly on Data

MARCH 23, 2021

There is a growing disbelief and distrust in basic science and government. The rise of the Internet, Search, social media, apps, and platforms has resulted in an information landscape that bypasses the centralized knowledge/reality-generation machine of broadcast media. Put simply, we are reduced to the inputs of an algorithm.

Internet Publishing and Broadcasting 342

Internet Publishing and Broadcasting Broadcasting Data-driven Publishing 342

Domino Data Lab

AUGUST 26, 2019

This article provides an excerpt of “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Data scientists, machine learning (ML) researchers, and business stakeholders have a high-stakes investment in the predictive accuracy of models. Introduction.

Testing 79

Testing Modeling Machine Learning Metrics 79

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Data Science meets Climate Science. Data veracity, data stewardship, and heros of data science.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69