The Unofficial Google Data Science Blog

AUGUST 27, 2019

This problem can be phrased as an optimization problem — given some fixed review capacity how should we sample videos? Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Insight

JANUARY 14, 2020

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). a “pre-trained” model) to be recycled and reused for many different tasks. We pass 3 parameters: loss, optimizer , and metrics. Read on to find out more!

Metrics 58

Metrics Optimization Modeling Testing 58

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. Through the lenses of the tool, Acast was able to address better monitoring, cost optimization , performance, and security.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

Occam's Razor

JANUARY 2, 2013

Multi-channel attribution was the flavor of the month for every month in 2012. And just as in 2012 magic pills will be scarce, FUD will be plentiful, and vendors will promise the moon. After that if you can't resist the itch, go play with the, now free to everyone, Attribution Modeling Tool in GA. Mobile Devices Report.

Strategy 159

Strategy Analytics Reporting Metrics 159

Sisense

DECEMBER 11, 2019

An exciting slate of presentations took them on a journey from why to how they should use data analytics to optimize their operations successfully and maximize their business opportunities. And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Domino Data Lab

MARCH 3, 2019

What’s been the impact of using ML models on culture and organization? Who builds their models? What metrics are used to evaluate success? We also used maturity , in other words how long had an enterprise organization been deploying ML models in production?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

The Unofficial Google Data Science Blog

JUNE 30, 2016

It should be noted that inverse probability weighting is not generally optimal (i.e., We do this by describing the methods in terms of loss functions whose expectation is optimized at the true value of the propensity score. In the presence of model misspecification, the estimator $hatpsi$ is inconsistent.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

SEPTEMBER 9, 2019

We have configured the default Compute Environment in Domino to include all of the packages, libraries, models, and data you’ll need for this tutorial. That nlp variable is now your gateway to all things spaCy and loaded with the en_core_web_sm small model for English. Getting Started. for a, b in pairs:?. print(a, b, lic[a].similarity(lic[b])).

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Occam's Razor

SEPTEMBER 21, 2015

The Directors, the Marketers, the Optimization employees and our resident social media gurus. You can cut yourself with it and embarrass yourself, or you can look the very best you ever have by using it optimally. First, someone worked really hard on this and created a really nice model for a smarter decision to be made for 2014.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Looking at metrics of interest computed over subpopulations of large data sets, then trying to make sense of those differences, is an often recommended practice (even on this very blog).

Experimentation 61

Experimentation Testing Statistics Metrics 61

Cloudera

NOVEMBER 17, 2021

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. In addition to the UI interface, Cloudera Machine Learning exposes a REST API that can be used to programmatically perform operations related to Projects, Jobs, Models, and Applications.

Machine Learning 121

Machine Learning Visualization Data Science Metrics 121

Domino Data Lab

JULY 22, 2019

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” I went to a meeting at Starbucks with the founder of Alation right before they launched in 2012, drawing on the proverbial back-of-the-napkin.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109