IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Occam's Razor

SEPTEMBER 4, 2012

Two companies, Skullcandy and TripIt, delivering on four amazing outcomes that inspire us to set the bar significantly higher for our mobile efforts in 2015 (or sooner!). I'm sure you are impressed at the data mining and intent targeting efforts of TripIt. That is what all marketing in 2015 will look like.

Marketing 144

Marketing Data mining Measurement Strategy 144

Occam's Razor

SEPTEMBER 15, 2014

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. And again, a custom set of metrics.

Metrics 141

Metrics Reporting Analytics Marketing 141

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. 2015) for additional details. Conference on Knowledge Discovery and Data Mining, pp. def create_model(): sgd = optimizers.SGD(lr=0.01, decay=0, momentum=0.9,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139