Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. Dua, D., & Graff, C.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Smart Data Collective

APRIL 5, 2019

For example, the company Tweetdeck was ahead of their game when they recognized the need for businesses to engage with their customers back in 2009. Synthesio is a social listening tool that allows brands to measure the impact of online conversations against their business goals.

Big Data 80

Big Data Interactive Data-driven Machine Learning 80

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. measure the subjects’ ability to trust the models’ results. training data”) show the tangible outcomes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

SEPTEMBER 4, 2012

2009 was the year of mobile. If your company has a non-stinky mobile website and mobile app then congratulations: you have successfully solved the problem of 2009! Measurement? It would not be my blog if there was not at least a word about measurement. Everything described above is measureable. Celebrate a little.

Marketing 146

Marketing Data mining Measurement Strategy 146

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

Domino Data Lab

AUGUST 1, 2021

but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. PDPs for the bicycle count prediction model (Molnar, 2009). Courville, Pascal Vincent, Visualizing Higher-Layer Features of a Deep Network, 2009. Conference on Knowledge Discovery and Data Mining, pp.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. The fifth benefit of implementing business intelligence and data analytics into your company is the use of predictive analytics.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214