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). We pass 3 parameters: loss, optimizer , and metrics. Choosing your evaluation metric Lastly, metrics just refers to your choice of evaluation metric.

Metrics 58

Metrics Optimization Modeling Testing 58

datapine

FEBRUARY 23, 2023

That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. In many cases, even the chart designers are not picking the right visuals to convey the information in the correct way. Let’s dive into them.

Visualization 177

Visualization Dashboards Sales Measurement 177

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

DECEMBER 2, 2020

Due to its importance in both theory and applications, this algorithm is one of three algorithms awarded the Test of Time Award at the KDD conference in 2014. To test out DBSCAN, I’m going to use a dataset consisting of annual customer data for a wholesale distributor. Application. astype("float32", copy = False).

Metrics 116

Metrics KDD Testing Machine Learning 116

Sisense

JUNE 9, 2021

And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. Heat map data visualizations have shown teams that keep possession of the ball and maintain high intensity are most likely to score goals and win games. Gleaning actionable intelligence from disparate data sources.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Sisense

FEBRUARY 24, 2021

To help provide guidance for what role a chief data officer should play at a particular organization, Yang Lee and a research team introduced their cubic framework for the chief data officer in their seminal 2014 paper for MIS Quarterly Executive. This situation can quickly pose a dilemma for the chief data officer.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Domino Data Lab

AUGUST 22, 2019

At the time—in 2014—the three were colleagues working. 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.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111