IBM Big Data Hub

AUGUST 11, 2023

The term was originally coined in 2015 in a published research paper called, “Hidden Technical Debts in the Machine Learning System,” which highlighted common problems that arose when using machine learning for business applications. If the decision process didn’t get it right, the team will then assess how bad the miss was.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. Link to item 6 on slide 27 is broken, [link] , for Dashboard to measure business impact, can you provide a current link?

Analytics 64

Analytics Measurement Data-driven Modeling 64

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Remember my stress earlier on measuring micro-outcomes?). Framing the Opportunity.

Metrics 143

Metrics Reporting Analytics Marketing 143

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. 2015) for additional details. Neural machine translation by jointly learning to align and translate , ICLR, 2015. Skater uses different techniques depending on the type of the model (e.g. See Wei et al. Bahdanau, D.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Occam's Razor

FEBRUARY 9, 2015

How is competitive intelligence data collected? Competitive intelligence data will never match your site's analytics tool. CI data collection. How does any tool have access to your website or mobile app data? But in the lovely environment of the web there are a number of ways to collect your data.

Metrics 156

Metrics Reporting IT Advertising 156

Rita Sallam

AUGUST 28, 2022

For the vendors that participate in the Bake-Off, it is in equal measure fun and extremely stressful. Solar power is being used successfully in many African nations, but data collection is poor and so hides the important social benefits of this energy source. And these did not disappoint!

Analytics 52

Analytics Data Analytics Cost-Benefit Data-driven 52

Domino Data Lab

FEBRUARY 4, 2019

The ability to measure results (risk-reducing evidence). These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. Friction ensued.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons.

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. 29, 2015, Republicans from the U.S. What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

Timo Elliott

NOVEMBER 14, 2024

Real-World Examples of Greenwashing Some of the most notorious greenwashing scandals illustrate both deliberate deception and regulatory gray areas: Volkswagen’s Dieselgate: The automaker was fined over $25 billion in 2015 for equipping vehicles with devices that manipulated emissions tests.

Advertising 59

Advertising Measurement Cost-Benefit Metrics 59

O'Reilly on Data

JUNE 16, 2020

Thinking in Bets , Annie Duke’s 2018 book about making decisions under uncertainty, has many analogous examples operating under both risk and uncertainty, such as the infamous 2015 Super Bowl XLIX Seahawks’ decision to pass the ball in the final 26 seconds. Worse, it may be providing incorrect information.

Uncertainty 357

Uncertainty Testing Risk Reporting 357