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., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

IBM Big Data Hub

FEBRUARY 29, 2024

Kubernetes The most popular container orchestration platform is Kubernetes , which was created by Google in 2014 and is still popular for the robust way it automates the deployment of software, enables scalability and supports container management. As a default measure, system containers prohibit layered filesystems.

Software 83

Software Data Processing Marketing Optimization 83

Data Science and Beyond

OCTOBER 15, 2017

Here are my thoughts from 2014 on defining data science as the intersection of software engineering and statistics , and a more recent post on defining data science in 2018. The hardest parts of data science are problem definition and solution measurement, not model fitting and data cleaning , because counting things is hard.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Modernists and structuralists beware. hill climbing ) ( Clue #1 ).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Insight

DECEMBER 30, 2019

Once these features have been extracted from the image, they can be fed into any machine learning algorithm (e.g. support vector machine) for object detection or another computer vision task. a circuit) and you measure the output signal, f(t) , given an exceedingly narrow input pulse (approximated as a Dirac delta function).

Visualization 72

Visualization Modeling Machine Learning IT 72

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. Lieferando is a European online food-ordering service that was acquired by Just Eat Take Away in 2014. The results?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. Interpretable Machine Learning , Christoph Molnar, Section 5.1,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Cloudera

DECEMBER 11, 2017

And, while measuring the global progress on human rights is still a work in progress, assessments at the country level confirm what we see daily on the news. Sadly, more than 80 years later his statement is as relevant today as it was in 1946. 2) Funding towards human rights causes.

Strategy 40

Strategy Data-driven Reporting Data Processing 40