Domino Data Lab

AUGUST 22, 2019

Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Relative to extrinsic evaluations, intrinsic tests are quick. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

APRIL 21, 2021

The dataset contains transactions made by European credit card holders in September 2013, and has been anonymized – Features V1, V2, …, V28 are results from applying PCA on the raw data. from sklearn import metrics. from sklearn import metrics. This is to prevent any information leakage into our test set.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. Fox Foundation is testing a watch-type wearable device in Australia to continuously monitor the symptoms of patients with Parkinson’s disease.

Machine Learning 50

Machine Learning Internet of Things Data-driven Cost-Benefit 50

Occam's Razor

DECEMBER 9, 2013

One that reflects the customer expectations of 2013. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). Bonus: Facebook Marketing: Best Metrics, ROI, Business Value ]. Here is what it looks like: Let's look at each step on the ladder in some detail. Look at the colors. Beat Motrin.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

Occam's Razor

DECEMBER 3, 2012

It is not just what you do to attract traffic (what most people think of as marketing and advertising), but also what types of experiences you create (something people rarely think is marketing) and how good you are at delivering for where you should be in 2013 rather than 2009 (only the rarest of marketers think with this lens on).

Marketing 149

Marketing Advertising Strategy Optimization 149

Occam's Razor

JANUARY 31, 2017

There is only one simple message above, and just two metrics that matter. The latter is especially important because it directly ties to what content the ads/marketing should contain, what the tone and texture should be of the landing page/app experience, and what we'll use to measure success (S, T, D, C metrics).

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

Occam's Razor

APRIL 29, 2013

[A benchmark for you: In 2013 if 30% of your time, Ms./Mr. Many used some data, but they unfortunately used silly data strategies/metrics. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. It is a really good metric. They get you fired.

Marketing 166

Marketing Metrics Advertising Measurement 166

IBM Big Data Hub

FEBRUARY 22, 2024

Reliable “The Department’s AI capabilities will have explicit, well-defined uses, and the safety, security, and effectiveness of such capabilities will be subject to testing and assurance within those defined uses across their entire life cycles.” This is misguided. But it is well worth the effort.

Metadata 91

Metadata Measurement Risk Modeling 91

Jet Global

MAY 1, 2023

Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. They can also create custom calculations and metrics, and build new data visualizations.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an I tested several different flavors of BERT for use as synopsis classifiers before settling on the DistilBERT model from Hugging Face. It is worth keeping in mind that the choice of threshold will impact downstream metrics like precision as well as shifting the size of our dataset.

Modeling 59

Modeling Metadata Publishing Sales 59